<div class="h1"><strong>Software Engineer, AI / Full Stack</strong></div><ul style=""><li style=""><p style="min-height:1.5em">Salary Range: $125-$190k</p></li><li style=""><p style="min-height:1.5em">Plus Equity </p></li></ul><p style="min-height:1.5em"></p><div class="h2"><strong>About Us:</strong></div><p style="min-height:1.5em">Squint is the Manufacturing Intelligence Platform that brings together the latest innovations in AI and AR to make every operator an expert. Our story starts with manufacturing, a $7T industry that is the foundation of the world as we know it. Faced with a generational inflection point, the industry is in need of a new wave of technology that bridges the knowledge gap between the retiring and incoming workforce. </p><p style="min-height:1.5em">We believe our solution can extend beyond manufacturing, and we’re working on empowering workforces in industries like Energy, Healthcare, Hospitality, and more. Squint’s mission is to accelerate human potential by bringing digital knowledge into the real world.</p><p style="min-height:1.5em"></p><div class="h2"><strong>About the Job:</strong></div><p style="min-height:1.5em">Squint is searching for Software Engineers! In this role, you’ll build the Squint platform, focusing on AI-powered full-stack projects. We aren’t just building GPT wrappers; we’re delivering value to our customers with real, first-class AI applications. You will be responsible for not only making decisions on the technology stack, but also influencing the product roadmap and product design. As a key early employee at Squint, you will help create and grow a world-class engineering culture; we play for the front of the jersey, and we care about our craft. </p><p style="min-height:1.5em"></p><div class="h2"><strong>Key Responsibilities:</strong></div><ul style=""><li style=""><p style="min-height:1.5em">Contribute across all technical aspects of development at Squint.</p></li><li style=""><p style="min-height:1.5em">Create scalable architecture, review code, and perform all phases of the development life cycle.</p></li><li style=""><p style="min-height:1.5em">Drive end-to-end product development, collaborating with product management, design, and customers as stakeholders for your work.</p></li><li style=""><p style="min-height:1.5em">Understand customer use cases and actively apply this knowledge to engineering projects and product decisions.</p></li><li style=""><p style="min-height:1.5em">Help build a world-class engineering culture, including all of the stages involved in bringing a product from concept or idea through market release and beyond.</p></li><li style=""><p style="min-height:1.5em">Flexibly contribute to various tasks as needed – we’re a startup!</p></li></ul><p style="min-height:1.5em"></p><div class="h2"><strong>Qualifications:</strong></div><ul style=""><li style=""><p style="min-height:1.5em">Bachelor’s Degree in Computer Science or related field.</p></li><li style=""><p style="min-height:1.5em">4+ years of experience working as a Software Engineer.</p></li><li style=""><p style="min-height:1.5em">Experience with one or more of the following areas (or related technologies): </p><ul style=""><li style=""><p style="min-height:1.5em">Building and deploying AI applications in production</p></li><li style=""><p style="min-height:1.5em">AI techniques, tooling, and workflows: LLMs, RAG, Vector DBs, Langchain, HuggingFace, LlamaIndex, CoreML</p></li><li style=""><p style="min-height:1.5em">Modern web/backend technologies: React, Typescript, Node, Next, Python</p></li><li style=""><p style="min-height:1.5em">Mobile development: Flutter (Dart), iOS (Swift), Android (Kotlin)</p></li><li style=""><p style="min-height:1.5em">Cloud platforms/infrastructure: GCP, AWS, Azure, Docker</p></li><li style=""><p style="min-height:1.5em">Databases: Relational (PostgreSQL, MySQL) or Non-relational (MongoDB, Firestore)</p></li></ul></li><li style=""><p style="min-height:1.5em">Track record of creating scalable, performant, and well-documented software.</p></li><li style=""><p style="min-height:1.5em">High energy, clarity of communication, curiosity, and empathy.</p></li><li style=""><p style="min-height:1.5em">Team-oriented, collaborative, and high-ownership mindset.</p></li><li style=""><p style="min-height:1.5em">Flexibility and adaptability in a fast-paced environment.</p></li></ul><p style="min-height:1.5em"></p><div class="h2"><strong>Benefits:</strong></div><ul style=""><li style=""><p style="min-height:1.5em">Remote first</p></li><li style=""><p style="min-height:1.5em">Health insurance</p></li><li style=""><p style="min-height:1.5em">Maven digital platform for parent and parents to be</p></li><li style=""><p style="min-height:1.5em">PTO</p></li><li style=""><p style="min-height:1.5em">401(k)</p></li><li style=""><p style="min-height:1.5em">Laptop</p></li><li style=""><p style="min-height:1.5em">Travel to company offsites</p></li></ul><p style="min-height:1.5em"></p><div class="h2"><strong>A final note</strong></div><p style="min-height:1.5em">We are committed to creating a diverse and inclusive workplace. Squint is an equal opportunity employer, welcoming applicants from all backgrounds without regard to race, gender, age, or any other protected characteristic. We encourage you to apply even if you're not quite sure you fit all the requirements for the role!</p><p style="min-height:1.5em"></p><p style="min-height:1.5em">Ready to redefine the future? Join us at Squint and be a part of something revolutionary.</p><img src="https://remotive.com/job/track/1949972/blank.gif?source=public_api" alt=""/>

Software Engineer, AI / Full Stack

<div>About Us</div>
<div> </div>
<div>At ASAPP, we're reimagining how voice and AI work together in customer experience. Our GenerativeAgent platform goes beyond traditional speech recognition, tackling the unique challenges of voice-first AI interactions. We understand that speech is fundamentally different from text - it's not just about transcription or latency, but about creating truly natural, fluid conversations between humans and AI.</div>
<div> </div>
<div>Your Impact</div>
<div> </div>
<div>As a Speech Modeling Intern, you'll help pioneer new approaches to voice-based AI interactions. You'll work at the intersection of speech science and large language models, helping to solve the unique challenges that arise when building conversational AI systems that truly understand and respond to human speech.</div>
<p><br><br></p>
<div class="h3">What You'll Do</div>
<ul style="">
<li style="">Research and develop novel approaches to voice-first AI interactions</li>
<li style="">Explore the unique characteristics of speech that differentiate it from text-based interactions</li>
<li style="">Help design and implement speech processing systems that work seamlessly with (speech-) large language models</li>
<li style="">Use unique data to develop validate capabilities</li>
<li style="">Contribute to building more natural and effective voice interfaces</li>
<li style="">Participate in research discussions and experiments around the future of voice AI</li>
<li style="">Learn from experienced researchers and potentially contribute to research publications</li>
</ul>
<p><br><br></p>
<div class="h3">What You Bring</div>
<ul style="">
<li style="">Currently pursuing or recently completed a graduate degree (MS/PhD) in Computer Science, Electrical Engineering, or related field</li>
<li style="">Understanding of speech processing fundamentals</li>
<li style="">Experience with machine learning frameworks such as PyTorch or TensorFlow</li>
<li style="">Programming skills in Python</li>
<li style="">Curiosity about what makes voice interactions unique and challenging</li>
</ul>
<div> </div>
<p><br><br></p>
<div class="h3">What Will Help You Succeed</div>
<ul style="">
<li style="">Background in conversation analysis or dialogue systems</li>
<li style="">Experience with speech recognition, text-to-speech, or other speech-related work</li>
<li style="">Familiarity with large language models (LLMs) and their application to speech tasks</li>
<li style="">Interest in human-AI interaction</li>
<li style="">Ability to think creatively about unsolved problems</li>
<li style="">Strong communication skills and enthusiasm for learning</li>
</ul>
<p><br><br></p>
<div class="h3">What We Offer</div>
<ul style="">
<li style="">Opportunity to work on fundamental challenges in voice AI</li>
<li style="">Mentorship from leading researchers in speech technology and AI</li>
<li style="">Chance to shape the future of voice-based customer experience</li>
<li style="">Competitive internship compensation</li>
<li style="">Access to cutting-edge computing resources</li>
<li style="">Flexible work arrangements</li>
<li style="">Learning and development opportunities</li>
<li style="">Collaborative, inclusive work environment</li>
</ul>
<p><br><br></p>
<div class="h3">Duration</div>
<ul style="">
<li style="">3-6 months, with potential for extension based on project needs and performance</li>
</ul>
<div>ASAPP welcomes and encourages applications from people of all backgrounds. We're committed to building a diverse team where everyone can do their best work. If you need any accommodations during the application process, please let us know at careers@asapp.com. #LI-VR1 #LI-Remote</div>
<img src="https://remotive.com/job/track/1950028/blank.gif?source=public_api" alt=""/>

Speech Modeling Practitioner, Voice AI Innovation

<h3><b><strong>About <a href="https://himalayas.app/companies/anaconda">Anaconda</a></strong></b></h3><h3 dir="ltr"><b><strong>Be at the center of AI</strong></b></h3><p dir="ltr">With more than 45 million users, <a href="https://himalayas.app/companies/anaconda">Anaconda</a> is the most popular operating system for AI providing access to the foundational open-source Python packages used in modern AI, data science, and machine learning through a seamless platform. We pioneered the use of Python for data science, championed its vibrant community, and continue to steward open-source projects that make tomorrow’s innovations possible. Our enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness the power of open source for competitive advantage, groundbreaking research, and a better world. To learn more visit https://www.anaconda.com.</p><p dir="ltr">Here is why people love most about working here: We’re not just a company, we’re part of a movement. Our dedicated employees and user community are democratizing data science and creating and promoting open-source technologies for a better world, and our commercial offerings make it possible for enterprise users to leverage the most innovative output from open source in a secure, governed way.</p><h3><strong>Summary</strong></h3><p dir="ltr">We are seeking a <b><strong>Senior Data Scientist</strong></b> with deep expertise in NLP, user insights, and data science to join our AI Services team. In this role, you will lead efforts to evaluate and improve our language models (LLMs) while leveraging user telemetry and feedback to drive product enhancements. This position is ideal for a data scientist who combines strong analytical skills with a strategic understanding of user experience and model performance, helping to shape the future of our AI products.</p><h3><strong>What You'll Do</strong></h3><ul><li>Evaluate and Optimize LLMs: Design and execute experiments to assess and improve LLM performance across key metrics, focusing on accuracy, efficiency, and user relevance.</li><li>Analyze Telemetry and User Data: Collect and analyze user interactions and telemetry data to identify patterns, uncover user needs, and provide actionable insights that drive model and product improvements.</li><li>Translate Insights into Action: Work closely with product, engineering, and UX teams to ensure insights are actionable and aligned with business goals, directly influencing the user experience.</li><li>Build and Maintain Data Pipelines: Develop and maintain clean, tested, and reproducible data pipelines to support continuous model evaluation and analysis.</li><li>Experiment Design and A/B Testing: Design A/B tests and experiments to validate model improvements, using statistical methods to ensure robust, data-driven decision-making.</li><li>Collaborate Across Teams: Partner with cross-functional teams to communicate findings, recommend improvements, and ensure data-driven decisions shape product development.</li></ul><h3><strong>What You Need:</strong></h3><ul><li>8+ years of data science or machine learning experience, with at least 4 years focused on NLP or language model evaluation.</li><li>Strong proficiency in Python and experience with data analysis libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., TensorFlow, PyTorch).</li><li>Expertise in NLP evaluation techniques and statistical methods for A/B testing, hypothesis testing, and experiment design.</li><li>Experience with telemetry and user data analysis to generate actionable insights.</li><li>Clean, maintainable coding skills with a focus on reproducibility and testing.</li><li>Excellent communication skills for translating technical insights into clear, actionable recommendations for non-technical audiences.</li><li>Team attitude: “I am not done until WE are done”</li><li>Embody our core values:     </li><li><ul><li>Great People</li><li>Great Product</li><li>Great Performance</li></ul></li><li>Care deeply about fostering an environment where people of all backgrounds and experiences can flourish </li></ul><h3><strong>What Will Make You Stand Out:</strong></h3><ul><li><b><strong>Experience in MLOps and model deployment:</strong></b> Familiarity with deploying, monitoring, and optimizing ML models in production environments.</li><li><b><strong>Advanced knowledge in data visualization:</strong></b> Ability to create compelling visualizations to communicate insights and model performance.</li><li><b><strong>Experience in cross-functional environments: </strong></b>Proven track record working closely with product, UX, and engineering teams to align technical and user-focused goals.</li><li><b><strong>Curiosity and passion for NLP advancements:</strong></b> Staying up-to-date with the latest trends and advancements in NLP, with enthusiasm for applying innovative techniques to enhance model performance.</li><li><b><strong>User-centric perspective:</strong></b> Strong commitment to understanding and addressing user needs, leveraging feedback to refine and improve model experiences.</li><li>Experience working in a fast-paced startup environment</li><li>Experience working in an open-source, AI, or data science-oriented company</li></ul><h3>Critical Competencies</h3><ul><li><b><strong>Technical Excellence in NLP and Model Evaluation:</strong></b> Deep expertise in natural language processing, with a proven ability to design rigorous evaluation frameworks for LLMs and apply relevant NLP metrics.</li><li><b><strong>Data-Driven Decision-Making:</strong></b> Strong analytical skills and a methodical approach to leveraging data insights, experiment design, and statistical methods to drive informed, impactful decisions.</li><li><b><strong>User-Centric Insight Generation:</strong></b> Ability to extract meaningful insights from telemetry and user feedback data, focusing on improving user experience and aligning model performance with real-world needs.</li><li><b><strong>Effective Communication and Collaboration:</strong></b> Skilled in translating complex technical concepts into clear, actionable insights for diverse teams, ensuring alignment across product, UX, and engineering functions.</li><li><b><strong>Commitment to Clean, Reproducible Code:</strong></b> Dedication to coding best practices, writing maintainable, well-tested code, and building reproducible data pipelines that ensure robust, scalable analyses.</li><li><b><strong>Continuous Learning and Adaptability: </strong></b>A proactive approach to staying current with advancements in NLP and data science, with the ability to adapt methods and insights to evolving technologies and user needs.</li></ul><h3>What We Value</h3><ul><li>Strong focus on infrastructure reliability and performance</li><li>Commitment to automation and reproducible deployments</li><li>Balance between innovation and stability</li><li>Clear, proactive communication and documentation</li><li>Collaborative approach to problem-solving</li><li>User-centric infrastructure design</li><li>Continuous learning and knowledge sharing</li><li>Data-driven decision making</li><li>Pragmatic approach to technical solutions</li><li>Strong sense of ownership and responsibility</li></ul><h3><strong>Why You'll Like Working Here:</strong></h3><ul><li>Unique opportunity to translate strong open-source adoption and user enthusiasm into commercial product growth</li><li>Dynamic company that rewards high-performers</li><li>On the cutting edge of enterprise application of data science, machine learning, and AI</li><li>Collaborative team environment that values multiple perspectives and clear thinking</li><li>Employees-first culture</li><li>Flexible working hours</li><li>Medical*, Dental*, Vision*, HSA*, Life* and 401K*</li><li>Paid parental leave - both parents</li><li>Monthly productivity stipend </li><li>Open vacation policy* </li><li>Quarterly Snake days (company-wide bonus day off)</li><li>100% remote</li></ul><h3>*FTE employees based on your region </h3><p dir="ltr"><em>An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.</em></p><p dir="ltr"><em><a href="https://himalayas.app/companies/anaconda">Anaconda</a>, Inc. (“We”, “Us”) are committed to protecting and respecting your privacy. This Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to Us, will be processed by Us in connection with Our recruitment processes. By clicking “Submit Application”, you acknowledge you have read our Privacy Policy and that <a href="https://himalayas.app/companies/anaconda">Anaconda</a> can retain your application data for up to 1-year, unless otherwise stated.  For the purpose of the General Data Protection Regulation (“GDPR”) ”) and the version of the GDPR retained in UK law (the “UK GDPR”) the Data Controller is Sydney Artt.</em></p><p dir="ltr"><em>This job post expires 30 days from its original post date</em></p><h3><a href="https://himalayas.app/companies/anaconda">Anaconda</a> is an EEO/AA employer M/F/V/D.</h3><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Sr Data Scientist - AI Services

<p><a href="https://himalayas.app/companies/ideogram">Ideogram</a>’s mission is to help people become more creative. Our thesis is that everyone has an innate desire to create. We are developing state-of-the-art AI tools that will make creative expression more accessible and efficient. We are pushing the limits of what’s possible with AI, with a focus on creativity and a high standard for trust and safety. Our headquarters is in downtown Toronto, and we have a small presence in NYC. Read <a href="https://himalayas.app/companies/ideogram">Ideogram</a> 2.0 <a rel="noopener noreferrer nofollow" href="https://about.ideogram.ai/2.0"><u>blog post</u></a> and check out our text to image product at <a rel="noopener noreferrer nofollow" href="http://ideogram.ai"><u>ideogram.ai</u></a> to get a glimpse of what we're building.</p><h3>About the role</h3><p>As a Machine Learning Engineer, you will build and deploy state of the art machine learning models at scale.  You will work with a creative and ambitious team of engineers and researchers who are building the future of the creative economy with highly complex challenges.  You will work directly with some of the best machine learning experts in the world, who have an exceptional track record of setting the vision and executing generative AI projects.</p><h3>What we're looking for</h3><ul><li><p>2+ years of experience in developing machine learning models in JAX, PyTorch, or TensorFlow</p></li><li><p>Experience in implementing Machine Learning foundations (<em>e.g.,</em><a rel="noopener noreferrer nofollow" href="https://arxiv.org/abs/1706.03762"><u> Transformer</u></a>,<a rel="noopener noreferrer nofollow" href="https://arxiv.org/abs/1312.6114"><u> VAE</u></a>, <a rel="noopener noreferrer nofollow" href="https://arxiv.org/abs/2006.11239"><u>Denoising Diffusion models</u></a>) from scratch</p></li><li><p>Track record in machine learning innovation and familiarity with Deep Learning and advanced Machine Learning</p></li><li><p>End-to-end understanding of generative media applications and excitement for pushing the state-of-the-art in generative AI</p></li><li><p>Ability to debug machine learning models to iteratively improve model quality and performance</p></li><li><p>Nice to have: Familiarity with kubernetes and docker</p></li><li><p>Optional: Experience in low-level machine learning optimization, <em>e.g.,</em> writing CUDA kernel code</p></li></ul><h3>Founding team</h3><p>Our founding team consists of world-renowned AI experts including <a rel="noopener noreferrer nofollow" href="https://norouzi.github.io/"><u>Mohammad Norouzi</u></a>, <a rel="noopener noreferrer nofollow" href="http://jonathanho.me/"><u>Jonathan Ho</u></a>, <a rel="noopener noreferrer nofollow" href="https://linkedin.com/in/wchan212"><u>William Chan</u></a>, and <a rel="noopener noreferrer nofollow" href="https://linkedin.com/in/chitwansaharia"><u>Chitwan Saharia</u></a>. This team has previously led transformative AI projects at Google Brain, UC Berkeley, CMU, and the University of Toronto. Our fundamental work in AI includes: <a rel="noopener noreferrer nofollow" href="https://imagen.research.google/"><u>Imagen</u></a>: Google’s text-to-image system, <a rel="noopener noreferrer nofollow" href="https://imagen.research.google/video/"><u>Imagen Video</u></a> for video synthesis, <a rel="noopener noreferrer nofollow" href="https://hojonathanho.github.io/diffusion/"><u>Denoising Diffusion Models</u></a>, which is the foundation of the recent generative media transformation.</p><h3>Company Culture</h3><p>We're a single flat team that transcends engineering, research, product, and operation roles. Everyone is willing to do whatever is necessary to make our company and customers successful. We believe that a small, dedicated team with a collaborative culture can move faster and build better and more coherent products than large hierarchical organizations. At <a href="https://himalayas.app/companies/ideogram">Ideogram</a>, we provide mentorship and support to help our employees grow with the company and achieve their ambitious career goals.</p><p><a href="https://himalayas.app/companies/ideogram">Ideogram</a> is committed to welcoming everyone, regardless of gender identity, orientation, or expression. Our mission is to remove exclusivity and barriers and encourage new thinking and perceptions, in a space of belonging. It is not about race, gender, or age, it is about the people.</p><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Machine Learning Engineer

<p><a href="https://himalayas.app/companies/xometry">Xometry</a> (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. <a href="https://himalayas.app/companies/xometry">Xometry</a>’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.</p><p>We are seeking a highly skilled <strong>Senior Manager of Machine Learning Engineering</strong> with a strong background in ML model productionization.  This role oversees ML Engineering efforts to productionize and deploy ML models that predict the cost to manufacture customers’ parts and determine the best price to charge for them. This is at the core of our business with substantial opportunity for impact by solving interesting and challenging technical problems.</p><p>The ideal candidate will have at least 8+ years of total experience in the industry, including a minimum of 3 years in a leadership role, and experience with pricing algorithms and deep learning. </p><p>This position requires both leadership and hands-on technical expertise, managing a team of engineers while actively contributing to the design, development, and deployment of machine learning models and systems.  Our teams are highly collaborative, cross-functional, and rapidly iterating and innovating.</p><h4><strong>Key Responsibilities:</strong></h4><ul><li>Lead, mentor, and manage a team of machine learning engineers, providing guidance on best practices in ML Ops, infrastructure, and software engineering.</li><li>Lead the productionization of ML models and their deployment to quickly iterate on ML at the core of our business</li><li>Be hands-on in the design, development, and deployment of machine learning models and systems, ensuring they meet high standards of performance, scalability, and reliability.</li><li>Collaborate with data scientists, product managers, software engineers, and other stakeholders to define project requirements and deliverables.</li><li>Develop and maintain ML Ops pipelines, ensuring efficient model training, deployment, and monitoring.</li><li>Implement and manage infrastructure for large-scale data processing, model training, and inference.</li><li>Drive continuous improvement in engineering practices, including code quality, testing, and deployment automation.</li><li>Stay up-to-date with the latest trends and advancements in machine learning, software engineering, and cloud infrastructure to inform team strategy and direction.</li><li>Manage project timelines, resources, and deliverables, ensuring projects are completed on time and within budget.</li><li>Foster a culture of innovation, collaboration, and continuous learning within the engineering team.</li></ul><h4><strong>Qualifications:</strong></h4><ul><li>Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field.</li><li>8+ years of experience in software engineering, with a focus on machine learning, ML Ops, and infrastructure.</li><li>Minimum of 3 years of experience in a management role, with a proven track record of leading engineering teams to successful project outcomes.</li><li>Strong understanding of machine learning frameworks, tools, and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).</li><li>Experience with ML Ops practices, including model versioning, continuous integration, and automated deployment.</li><li>Proficiency in software engineering practices, including object-oriented design, code versioning, and testing.</li><li>Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and distributed computing.</li><li>Strong problem-solving skills, with the ability to lead teams in troubleshooting complex technical challenges.</li><li>Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.</li><li>Demonstrated ability to manage multiple projects simultaneously, prioritizing tasks and managing resources effectively.</li><li>Must be a US Citizen or Green Card holder (ITAR)</li></ul><h4><strong>Preferred Qualifications:</strong></h4><ul><li>Experience with pricing algorithms</li><li>Experience with neural networks and deep learning</li><li>Experience with containerization technologies (e.g., Docker, Kubernetes).</li><li>Knowledge of big data technologies (e.g., Hadoop, Spark) and data engineering practices.</li><li>Experience with CI/CD pipelines and automation tools (e.g., Jenkins, GitLab CI).</li></ul><p>Here at <a href="https://himalayas.app/companies/xometry">Xometry</a> we believe in diversity, equity, inclusion and belonging. We are committed to welcoming, respecting, and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all.</p><p><a href="https://himalayas.app/companies/xometry">Xometry</a> is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.</p><p>For US based roles: <a href="https://himalayas.app/companies/xometry">Xometry</a> participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.</p><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Senior Manager, ML Engineering

<p>Were hiring a <strong>Senior ML Developer (Remote) </strong>to join our team and drive data-driven decision-making across our digital platform. Apply now to be part of the team<br><br><strong>Responsibilities:</strong></p><ul><li>Address complex challenges to uncover customer behavior insights and drive product adoption.</li><li>Leverage expertise in quantitative analysis, data mining, and machine learning to develop models that shape product strategy and priorities.</li><li>Design and implement machine learning pipelines to support data-driven decision-making processes.</li><li>Collaborate closely with senior leaders in Product, Marketing, Engineering, and Design to ensure decisions are informed by data and have a meaningful impact.</li><li>Lead and mentor team members, spearheading the development of ML-powered features on the Digital Customer Platform.</li></ul><h3>Minimum Qualifications:</h3><ul><li>Advanced degree (MS/PhD) in a quantitative field such as Mathematics, Statistics, or Computer Science.</li><li>Over 5 years of experience in designing and deploying <strong>machine learning solutions</strong>.</li><li>Expertise in <strong>Large Language Models</strong> (<strong>e.g., RAG, Generative AI</strong>) and Natural Language Processing (<strong>NLP</strong>).</li><li>Strong proficiency in <strong>SQL/NoSQL</strong> databases, big data platforms like <strong>Hadoop </strong>and <strong>Spark</strong>, and programming (<strong>Python </strong>preferred).</li><li>Hands-on experience with data science tools (<strong>e.g., Pandas, Jupyter, TensorFlow</strong>) and advanced machine learning techniques.</li><li>Knowledge of cloud computing platforms (<strong>AWS</strong>) and familiarity with MLOps practices.<br><br><strong>Apply Now</strong><br><br><strong><a href="https://himalayas.app/companies/nearsource-technologies">NearSource Technologies</a> </strong>values diversity and is committed to equal opportunity. All qualified applicants will be considered regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as protected veterans.</li></ul><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Senior ML Developer

<p>Riot's Data developers build tools to understand and delight our worldwide players using petabytes of data and state-of-the-art data processing technology. Handling the potential these data offer is a tremendous and complex task. As we continue delivering and scaling content to passionate gamers, our discipline has challenges and opportunities centered on crafting, building, and maintaining data products that support our growth. Whether you are a Data Scientist modeling game systems, a Data Engineer bringing scale and efficiency to systems, or a Data Architect organizing data in ways that make data products more player-focused and dependable, we need you to help push forward our “Player Experience First” goals.</p><p>As a Data Science Intern on the League Data Central team, you will build data products to support the games and functions of the organization. You will report to the Data Science Manager on League Data Central, the hub for all Data Science and Data Engineering for League of Legends, Teamfight Tactics, and Wild Rift. The team collaborates on cross-functional projects that range from in-game features to content design to infrastructure. In a world of high volume data, you will develop products that bring personalized experiences to players, optimize our strategy, and refine in-game features.</p><h3><strong>Responsibilities:</strong></h3><ul><li>Work closely with game feature teams to optimize the way that we design and serve to players</li><li>Partner with game designers and engineers to design and implement data products</li><li>Explore the application of data science techniques to games in development and production</li></ul><h3><strong>Required Qualifications:</strong></h3><ul><li>Currently enrolled in an M.S. or Ph.D. program in statistics, engineering, computer science, artificial intelligence, or a related quantitative field (math, physics, etc.)</li><li>Available to work full-time hours for 10-12 weeks at the indicated office during the summer</li><li>Experience in statistics, statistical modeling, and optimization </li><li>Experience processing data and build machine learning models using Python</li><li>Experience with databases and SQL</li></ul><h3><strong>Desired Qualifications:</strong></h3><ul><li>Basic understanding of data warehousing, relational databases (e.g., MySQL), and distributed data processing or storage systems (e.g., Spark, Flink, Hadoop)</li><li>Basic experience withSpark, or other big data tech (e.g., Hadoop)</li><li>Basic experience with cloud data tools (e.g., AWS, GCP)</li></ul><p><em>For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!</em></p><p><strong>Applications close Friday, January 10th, 2025 at 11:59pm PT</strong></p><h3>Our Perks:</h3><p>Riot Internships are paid, and interns can also participate in our 401(k) plan. You can expect in-game perks, and the ability to participate in our Play Fund, so you can broaden and deepen your knowledge of our players and community through games. The University Programs team also invites you to intern focused events so you can connect with your fellow interns and Rioters to make the most out of your experience.</p><h4>Riot Games fosters a player and workplace experience that values teamwork embodied by the<a href="https://www.leagueoflegends.com/en-us/event/league-of-legends-code-of-conduct/"><strong>Summoner's Code</strong></a> and<a href="https://playvalorant.com/en-us/news/announcements/valorant-community-code/"><strong>Community Code</strong></a>. Our culture embraces differences as a strength, and our values are the guiding principles for how we approach work. We are committed to putting diversity and inclusion (D&amp;I) at the center of everything we do, and promoting a fair and collaborative culture where Rioters treat one another with dignity and respect. We encourage you to read more about our value of<a href="https://www.riotgames.com/en/who-we-are/values"><strong>thriving together</strong></a> and our ongoing work to build the<a href="https://www.riotgames.com/en/diversity-inclusion-and-culture"><strong>most inclusive company in Gaming</strong></a>.</h4><p>It’s our policy to provide equal employment opportunity for all applicants and members of <a href="https://himalayas.app/companies/riot-games-inc">Riot Games, Inc.</a> Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.</p><p>Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:</p><ul><li>Safeguarding confidential and sensitive Company data</li><li>Communication with others, including Rioters and third parties such as vendors, and/or players, including minors</li><li>Accessing Company assets, secure digital systems, and networks</li><li>Ensuring a safe interactive environment for players and other Rioters</li></ul><p>These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.<br></p><p><strong>(Remote Only)</strong> The hourly rate for this internship is USD $61.78 per hour. </p><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Data Science Intern - League Data Central - Summer 2025

<h3><strong>About the Company</strong></h3><p style="min-height:1.5em">Our client is at the forefront of the AI revolution, providing cutting-edge <strong>infrastructure</strong> that's reshaping the landscape of artificial intelligence. They offer an <strong>AI-centric cloud platform</strong> that empowers Fortune 500 companies, top-tier innovative startups, and AI researchers to drive breakthroughs in AI. This publicly traded company is committed to building full-stack infrastructure to service the explosive growth of the global AI industry, including large-scale GPU clusters, cloud platforms, tools, and services for developers.</p><ul style="min-height:1.5em"><li><h3>Company Type: Publicly traded  </h3></li><li><p style="min-height:1.5em">Product: AI-centric GPU cloud platform &amp; infrastructure for training AI models</p></li><li><p style="min-height:1.5em">Candidate Location: Remote anywhere in the US</p></li></ul><p style="min-height:1.5em">Their <strong>mission</strong> is to democratize access to world-class AI infrastructure, enabling organizations of all sizes to turn bold AI ambitions into reality. At the core of their success is a culture that celebrates creativity, embraces challenges, and thrives on collaboration.</p><h3><strong>The Opportunity</strong></h3><p style="min-height:1.5em">As an <strong>MLOps Professional Services Engineer (Remote)</strong>, you’ll play a key role in designing, implementing, and maintaining large-scale machine learning (ML) training and inference workflows for clients. Working closely with a Solutions Architect and support teams, you’ll provide expert, hands-on guidance to help clients achieve optimal ML pipeline performance and efficiency. </p><h3><strong>What You'll Do</strong></h3><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Design and implement scalable ML training and inference workflows using Kubernetes and Slurm, focusing on containerization (e.g., Docker) and orchestration.</p></li><li><p style="min-height:1.5em">Optimize ML model training and inference performance with data scientists and engineers</p></li><li><p style="min-height:1.5em">Develop and expand a library of training and inference solutions by designing, deploying, and managing Kubernetes and Slurm clusters for large-scale ML training with ready-to-deploy, standardized solutions</p></li><li><p style="min-height:1.5em">Integrate with ML frameworks: integrate K8s and Slurm with popular ML frameworks like TensorFlow, PyTorch, or MXNet, ensuring seamless execution of distributed ML training workloads</p></li><li><p style="min-height:1.5em">Develop monitoring and logging tools to track distributed training performance, identify bottlenecks, and troubleshoot issues</p></li><li><p style="min-height:1.5em">Create automation scripts and tools to streamline ML training workflows, leveraging technologies like Ansible, Terraform, or Python</p></li><li><p style="min-height:1.5em">Participate in industry conferences, meetups, and online forums to stay up-to-date with the latest developments in MLOps, K8S, Slurm, and ML</p></li></ul><h3><br><strong>What You Bring</strong></h3><ul style="min-height:1.5em"><li><p style="min-height:1.5em">At least 3 years of experience in MLOps, DevOps, or a related field</p></li><li><p style="min-height:1.5em">Strong experience with Kubernetes and containerization (e.g., Docker)</p></li><li><p style="min-height:1.5em">Experience with cloud providers like AWS, GCP, or Azure</p></li><li><p style="min-height:1.5em">Familiarity with Slurm or other distributed computing frameworks</p></li><li><p style="min-height:1.5em">Proficiency in Python, with experience in ML frameworks such as TensorFlow, PyTorch, or MXNet</p></li><li><p style="min-height:1.5em">Knowledge of ML model serving and deployment</p></li><li><p style="min-height:1.5em">Familiarity with CI/CD pipelines and tools like Jenkins, GitLab CI/CD or CircleCI</p></li><li><p style="min-height:1.5em">Experience with monitoring and logging tools like Prometheus, Grafana or ELK Stack </p></li><li><p style="min-height:1.5em">Solid understanding of distributed computing principles, parallel processing, and job scheduling</p></li><li><p style="min-height:1.5em">Experience with automation tools like Ansible, Terraform</p></li></ul><h3><strong>Key Attributes for Success</strong></h3><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Passion for AI and transformative technologies</p></li><li><p style="min-height:1.5em">A genuine interest in optimizing and scaling ML solutions for high-impact results</p></li><li><p style="min-height:1.5em">Results-driven mindset and problem-solver mentality</p></li><li><p style="min-height:1.5em">Adaptability and ability to thrive in a fast-paced startup environment</p></li><li><p style="min-height:1.5em">Comfortable working with an international team and diverse client base</p></li><li><p style="min-height:1.5em">Communication and collaboration skills, with experience working in cross-functional teams</p></li></ul><h3><strong>Why Join?</strong></h3><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Competitive compensation: $130,000-$175,000 (negotiable based on experience and skills)</p></li><li><p style="min-height:1.5em">Full medical benefits and life - insurance: 100% coverage for health, vision, and dental insurance for employees and their families</p></li><li><p style="min-height:1.5em">401(k) match program with up to a 4% company match</p></li><li><h3>PTO and paid holidays </h3></li><li><h3>Flexible remote work environment</h3></li><li><p style="min-height:1.5em">Reimbursement of up to $85/month for mobile and internet</p></li><li><p style="min-height:1.5em">Work with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUs (H100, L40S, with H200 and Blackwell chips coming soon)</p></li><li><p style="min-height:1.5em">Be part of a team that operates one of the most powerful commercially available supercomputers</p></li><li><p style="min-height:1.5em">Contribute to sustainable AI infrastructure with energy-efficient data centers that recover waste heat to warm nearby residential buildings</p></li></ul><h3><strong>Interviewing Process</strong></h3><ul style="min-height:1.5em"><li><p style="min-height:1.5em"><strong>Level 1:</strong> Virtual interview with the Talent Acquisition Lead (General fit, Q&amp;A)</p></li><li><p style="min-height:1.5em"><strong>Level 2:</strong> Virtual interview with the Hiring Manager (Skills assessment)</p></li><li><p style="min-height:1.5em"><strong>Level 3:</strong> Interview with the C-level (Final round)</p></li><li><p style="min-height:1.5em"><strong>Reference and Background Checks:</strong> Conducted post-interviews</p></li><li><p style="min-height:1.5em"><strong>Offer:</strong> Extended to the selected candidate</p></li></ul><p style="min-height:1.5em"><em>We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.</em></p><h3>Compensation Range: $130K - $175K</h3><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

MLOps Professional Services Engineer (Cloud & AI Infra)

<div>We are looking for a Senior Machine Learning Engineer to join our Knowledge Enrichment team at <a href="https://himalayas.app/companies/benchsci">BenchSci</a>. </div><div>You will help design and implement ML-based approaches to analyse, extract and generate knowledge from complex biomedical data such as experimental protocols and from results from several heterogeneous sources, including both publicly available data and proprietary internal data, represented in unstructured text and knowledge graphs. You will work alongside some of the brightest minds in tech, leveraging state of the art approaches to deliver on BenSci’s mission to expedite drug discovery. Knowledge Enrichment is at the core of this challenge as it ensures we can reason over and gain insights from an extensive, accurate, and high quality representation of biomedical data.</div><div>The data will be leveraged in order to enrich <a href="https://himalayas.app/companies/benchsci">BenchSci</a>’s knowledge graph through classification, discovery of high value implicit relationships, predicting novel insights/hypotheses, and other ML techniques. You will collaborate with your team members in applying state of the art ML and graph ML/data science algorithms to this data. </div><div>You are comfortable working in a team that pushes the boundaries of what is possible with cutting edge ML/AI, challenges the status quo, is laser focused on value delivery in a fail-fast environment.</div><h3>You Will:</h3><ul><li>Analyse and manipulate a large, highly-connected biological knowledge graph constructed of data from multiple heterogeneous sources, in order to identify data enrichment opportunities and strategies</li><li>Work with data and knowledge engineering experts to design and develop knowledge enrichment approaches/strategies that can exploit data within our knowledge graph</li><li>Provide solutions related to classification, clustering, more-like-this-type querying, discovery of high value implicit relationships, and making inferences across the data that can reveal novel insights</li><li>Deliver robust, scalable and production-ready ML models, with a focus on optimising performance and efficiency</li><li>Architect and design ML solutions, from data collection and preparation, model selection, training, fine-tuning and evaluation, to deployment and monitoring</li><li>Collaborate with your teammates from other functions such as product management, project management and science, as well as other engineering disciplines</li><li>Sometimes provide technical leadership on Knowledge Enrichment projects that seek to use ML to enrich the data in <a href="https://himalayas.app/companies/benchsci">BenchSci</a>’s Knowledge Graph</li><li>Work closely with other ML engineers to ensure alignment on technical solutioning and approaches.</li><li>Liaise closely with stakeholders from other functions including product and science</li><li>Help ensure adoption of ML best practices and state of the art ML approaches within your team(s).Participate in various agile rituals and related practices</li></ul><h3>You Have:</h3><ul><li>Minimum 3, ideally 5+ years of experience working as an ML engineer</li><li>Some experience providing technical leadership on complex projects</li><li>Degree, preferably PhD, in Software Engineering, Computer Science, or a similar area</li><li>A proven track record of delivering complex ML projects working alongside high-performing ML, data, and software engineers using agile software development</li><li>Demonstrable ML proficiency with a deep understanding of how to utilize state-of-the-art NLP and ML techniques</li><li>Mastery of several ML frameworks and libraries, with the ability to architect complex ML systems from scratch</li><li>Extensive experience with Python and PyTorch</li><li>Track record of contributing to the successful delivery of robust, scalable and production-ready ML models, with a focus on optimising performance and efficiency</li><li>Experience with the full ML development lifecycle from architecture and technical design, through data collection and preparation, model selection, training, fine-tuning and evaluation, to deployment and maintenance</li><li>Familiarity with implementing solutions leveraging Large Language Models, as well as a deep understanding of how to implement solutions using Retrieval Augmented Generation (RAG) architecture</li><li>Experience with graph machine learning (i.e. graph neural networks, graph data science) and practical applications thereof</li><li>This is complimented by your experience working with Knowledge Graphs, ideally biological, and a familiarity with biological ontologies</li><li>Experience with complex problem solving and an eye for details such as scalability and performance of a potential solution</li><li>Comprehensive knowledge of software engineering, programming fundamentals and industry experience using Python</li><li>Experience with data manipulation and processing, such as SQL, Cypher or Pandas</li><li>A can-do proactive and assertive attitude - your manager believes in freedom and responsibility and helping you own what you do; you will excel best if this environment suits you</li><li>You have experience working in cross-functional teams with product managers, scientists, project managers, engineers from other disciplines (e.g. data engineering).Ideally you have worked in the scientific/biological domain with scientists on your team</li><li>Outstanding verbal and written communication skills. Can clearly explain complex technical concepts/systems to engineering peers and non-engineering stakeholders</li><li>A growth mindset continuously seeking to stay up-to-date with cutting-edge advances in ML/AI, complimented by actively engaging with the ML/AI community</li></ul><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Senior Machine Learning Engineer

<p style="min-height:1.5em">We're is building the internet's coziest corner - a delightful digital space where friends can gather, customize their pixel-perfect rooms, and share moments in an adorable virtual environment.</p><h3>The Role</h3><p style="min-height:1.5em">We're seeking a creative and technically-minded student software engineer to join our founding team. You'll work directly with senior engineers to build delightful features using modern web technologies, focusing on smooth animations, micro-interactions, and pixel-perfect implementation.</p><p style="min-height:1.5em"><a href="https://dub.sh/skybit" rel="noopener noreferrer nofollow"><strong>🔗 LINK TO PRODUCT SPEC</strong></a></p><h3>What You'll Do</h3><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Implement charming user interfaces using PixiJS and modern JavaScript</p></li><li><p style="min-height:1.5em">Create smooth, playful animations and transitions using Tweenjs</p></li><li><p style="min-height:1.5em">Develop and optimize particle systems for ambient effects</p></li><li><p style="min-height:1.5em">Collaborate with designers to bring pixel art assets to life</p></li><li><p style="min-height:1.5em">Write clean, maintainable code with proper documentation</p></li><li><p style="min-height:1.5em">Participate in code reviews and technical discussions</p></li></ul><h3>Required Skills</h3><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Currently enrolled in Computer Science or related program</p></li><li><p style="min-height:1.5em">Strong foundation in JavaScript/TypeScript</p></li><li><p style="min-height:1.5em">Experience with modern frontend frameworks (React preferred)</p></li><li><p style="min-height:1.5em">Basic understanding of 2D graphics and animation concepts</p></li><li><p style="min-height:1.5em">Ability to work remotely and communicate effectively in English</p></li><li><p style="min-height:1.5em">Eye for detail and appreciation for polished user experiences</p></li></ul><h3>Nice-to-Have</h3><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Experience with PixiJS, Tweenjs, or similar game development libraries</p></li><li><p style="min-height:1.5em">Interest in pixel art and creative coding</p></li><li><p style="min-height:1.5em">Previous work on personal game or creative coding projects</p></li><li><p style="min-height:1.5em">Basic understanding of WebGL and canvas performance optimization</p></li><li><p style="min-height:1.5em">Experience with real-time multiplayer applications</p></li></ul><h3>What We Offer</h3><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Flexible remote work schedule compatible with studies</p></li><li><p style="min-height:1.5em">Competitive hourly rate with performance bonuses</p></li><li><h3>Mentorship from experienced engineers</h3></li><li><p style="min-height:1.5em">Opportunity to shape a product from the ground up</p></li><li><h3>Modern tech stack and creative freedom</h3></li><li><h3>Portfolio-worthy project experience</h3></li></ul><h3>Our Stack</h3><ul style="min-height:1.5em"><li><h3>Frontend: React, TypeScript, PixiJS</h3></li><li><p style="min-height:1.5em">Animation: Tweenjs, custom particle systems</p></li><li><h3>Audio: Howler.js</h3></li><li><h3>Backend: Node.js, WebSocket</h3></li><li><h3>Infrastructure: AWS</h3></li></ul><p style="min-height:1.5em">Join us in building something adorable and delightful! 🏠✨</p><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Student Software Engineer - Cozy 2d AI app 🏡

<p style="min-height:1.5em"><strong>Please link your shader portfolio in the PORTFOLIO or NOTES field.</strong></p><p style="min-height:1.5em">Botnet lets creators make AI avatars - similar to <a href="http://Character.ai" rel="noopener noreferrer nofollow">Character.ai</a>, but with a beautiful visualization of the character you're speaking to. Our initial use case is for anime fans.</p><p style="min-height:1.5em">As a technical artist, you will utilize your skills and passion for anime to bring our concepts to life.</p><h3>Responsibilities</h3><p style="min-height:1.5em"><em>3D Development</em></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Design, develop, and implement Three.JS Avatar experiences in collaboration with 3D designers, artists, and engineers</p></li><li><p style="min-height:1.5em">Optimize 3D performance across a wide range of devices by tuning WebGL rendering techniques and algorithms</p></li><li><p style="min-height:1.5em">Ensure the quality and stability of 3D features and systems throughout the development life cycle</p></li></ul><p style="min-height:1.5em"><em>Technical Documentation and Collaboration</em></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Create and maintain technical documentation related to 3D development processes and tools</p></li><li><p style="min-height:1.5em">Provide support and guidance for team members during development processes</p></li><li><p style="min-height:1.5em">Work closely with QA teams to identify, prioritize, and resolve technical issues</p></li></ul><p style="min-height:1.5em"><em>Level &amp; Environment Programming</em></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Collaborate with level designers and environment artists to implement, optimize, and polish 3D levels and worlds.</p></li><li><p style="min-height:1.5em">Develop tools and automation systems to streamline level and environment production for the team.</p></li></ul><p style="min-height:1.5em"><em>Optimization &amp; Performance</em></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Optimize 3D performance, identify bottlenecks, and debug issues to ensure smooth and efficient usage, prioritizing player experience.</p></li><li><p style="min-height:1.5em">Collaborate with platform-specific programmers to ensure the app runs optimally across various devices.</p></li></ul><p style="min-height:1.5em"><em>Tool Development &amp; Integration</em></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Develop, integrate, and maintain in-house or third-party tools and software to enhance the app development workflow.</p></li><li><p style="min-height:1.5em">Streamline workflows by creating systems that allow non-programmers to contribute to the app content more efficiently.</p></li></ul><h3>Requirements:</h3><p style="min-height:1.5em"><em>Soft Skills</em></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Strong communication and teamwork skills, comfortable working in a multidisciplinary team environment.</p></li><li><p style="min-height:1.5em">A passion for gaming and a deep understanding of app development processes, challenges, and trends.</p></li><li><p style="min-height:1.5em">Effective problem-solving and critical-thinking abilities.</p></li></ul><p style="min-height:1.5em"><em>Technical Skills</em></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">At least 2 years of experience with WebGL, OpenGL, or other 3D graphics APIs in app development</p></li><li><p style="min-height:1.5em">Proficiency in JavaScript or TypeScript and familiarity with 3D frameworks such as Three.js, Babylon.js, or others</p></li><li><p style="min-height:1.5em">A background in performance optimization, shader programming, and multiplatform development</p></li><li><p style="min-height:1.5em">Experience using version control systems, preferably Git</p></li></ul><p style="min-height:1.5em"><em>Mentality</em></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">A creative and forward-thinking approach to 3D development, eager to explore new ideas and find innovative solutions.</p></li><li><p style="min-height:1.5em">Adaptable and receptive to feedback, able to iterate and refine your work in response to changes or new input.</p></li><li><p style="min-height:1.5em">A proactive and self-motivated mindset, consistently seeking ways to contribute to the project and the team's overall success.</p></li></ul><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Shader Technical Artist for AI Anime Avatar App 🤖

<p>Riot Research Scientists combine their wide technical expertise across data processing, automation, machine learning ("ML"), artificial intelligence ("AI"), and experimental design to inform decisions and develop robust research prototypes and inform data powered products. </p><p>The Technology Research team performs applied research to accelerate the pace of building amazing player experiences at Riot Games.  As a Research Scientist Intern on Tech Research, you’ll contribute to a research team whose focus is to leverage generative AI to augment, evolve, and even revolutionize game development pipelines and/or player experiences. To this end, you and your team will track the latest research in relevant areas, work closely with teams to prioritize the most promising research, build prototypes to highlight the value of new capabilities, and in certain cases partner with game teams to create robust and efficient production versions of your prototypes.  </p><h3><strong>Responsibilities:</strong></h3><ul><li>Work closely with game teams and content creators to accelerate the pace that we produce content for our games</li><li>Partner with artists, designers, and engineers to prototype new applications of research</li><li>Explore the application of large language models and state of the art content generation models to games in development and production</li></ul><h3><strong>Required Qualifications:</strong></h3><ul><li>Enrolled in an M.S. or Ph.D. program in statistics, engineering, computer science, artificial intelligence, or a related quantitative field (math, physics, etc.)</li><li>Graduating during the 2026 calendar year </li><li>Available to work full-time hours for the 12 week internship duration</li><li>Eligible to work in the country that you reside in during this remote program</li><li>Experience in deep learning, including frameworks such as Tensorflow or PyTorch</li><li>Experience processing data and build machine learning models using Python</li><li>Experience in machine learning techniques</li><li>Experience in statistical modeling and optimization </li></ul><h3><strong>Desired Qualifications:</strong></h3><ul><li>Understanding of distributed systems and concurrent programming</li><li>Familiarity with cloud computing basics on AWS (EC2, S3)</li><li>Experience working with Linux operating systems</li><li>Experience in C++ and game development (Unreal, Unity, Godot)</li><li>Experience with version control systems. (We use Git)</li><li>Experience in large language models, diffusion models, neural radiance fields, or Gaussian splats</li><li>Experience in social network analysis, natural language processing, computer vision, or signal processing</li></ul><p><em>For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!</em></p><p><strong>Applications close Friday, January 10th, 2025 at 11:59pm PT </strong></p><h3><strong>Our Perks:</strong></h3><p>Riot Internships are paid, and interns can also participate in our 401(k) plan. You can expect in-game perks, and the ability to participate in our Play Fund, so you can broaden and deepen your knowledge of our players and community through games. The University Programs team also invites you to intern focused events so you can connect with your fellow interns and Rioters to make the most out of your experience.</p><h4>Riot Games fosters a player and workplace experience that values teamwork embodied by the<a href="https://www.leagueoflegends.com/en-us/event/league-of-legends-code-of-conduct/"><strong>Summoner's Code</strong></a> and<a href="https://playvalorant.com/en-us/news/announcements/valorant-community-code/"><strong>Community Code</strong></a>. Our culture embraces differences as a strength, and our values are the guiding principles for how we approach work. We are committed to putting diversity and inclusion (D&amp;I) at the center of everything we do, and promoting a fair and collaborative culture where Rioters treat one another with dignity and respect. We encourage you to read more about our value of<a href="https://www.riotgames.com/en/who-we-are/values"><strong>thriving together</strong></a> and our ongoing work to build the<a href="https://www.riotgames.com/en/diversity-inclusion-and-culture"><strong>most inclusive company in Gaming</strong></a>.</h4><p><em>It’s our policy to provide equal employment opportunity for all applicants and members of <a href="https://himalayas.app/companies/riot-games-inc">Riot Games, Inc.</a> Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.</em></p><p><em>Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:</em></p><ul><li><em>Safeguarding confidential and sensitive Company data</em></li><li><em>Communication with others, including Rioters and third parties such as vendors, and/or players, including minors</em></li><li><em>Accessing Company assets, secure digital systems, and networks</em></li><li><em>Ensuring a safe interactive environment for players and other Rioters</em></li></ul><p><em>These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security. </em></p><p><strong>(Remote Only) </strong>The hourly rate for this internship is USD $61.78</p><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Research Scientist Intern - Generative AI - Summer 2025

Software Engineer Intern - Cozy 2D AI app  🏡

Shader/Rendering Engineer for AI Anime Avatar App 🤖

<div class="h2"><strong>About Rad AI</strong></div><p style="min-height:1.5em">We have raised $80+ million to date from venture funds and just closed on our series B financing with investors Khosla Ventures, Gradient (Google’s AI fund) and ARTIS. We’ve also formed a <a href="https://www.forbes.com/sites/saibala/2024/01/16/rapidly-growing-radiology-ai-company-rad-ai-strikes-partnership-with-google-cloud/" rel="nofollow" target="_blank"><u>partnership with Google</u></a> to collaborate on the future of generative AI to redefine healthcare. Currently, more than 1/3 of radiology groups and healthcare systems, including Kaiser Permanente, HCA Healthcare, and Geisinger, now leverage the latest Gen AI advancements from Rad AI. We're recognized as one of the most promising healthcare AI companies by both CB Insights and AuntMinnie. Come join us in transforming healthcare with AI!</p><p style="min-height:1.5em">Founded by the youngest US radiologist in history, Rad AI empowers physicians with Al to save time, reduce burnout, and improve the quality of patient care. By combining our deep expertise in healthcare and AI and using one of the largest proprietary radiology report datasets in the world, our AI has uncovered hundreds of new cancer diagnoses for patients and reduced the error rate in tens of millions of radiology reports by nearly 50%. </p><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>Why Join Us:</strong></p><p style="min-height:1.5em">We are seeking a motivated and experienced product manager to join us and take ownership of our most successful product line, Rad AI Impressions. This is a mission critical role with high impact ability working cross functionally across all of our key teams. We’re seeking a teammate who is excited to be part of our mission and wants to make a tremendous clinical impact to patients and physicians across the US and beyond!</p><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>What You’ll Be Doing:</strong></p><ul style=""><li style=""><p style="min-height:1.5em">Lead the development of our flagship product, Rad AI Impressions, an enterprise-grade software product tailored to the needs of radiologists and their practices.</p></li><li style=""><p style="min-height:1.5em">Drive product strategy that addresses complex requirements, such as regulatory compliance (e.g., HIPAA, GDPR), interoperability, and clinical workflows.</p></li><li style=""><p style="min-height:1.5em">Develop comprehensive go-to-market strategies, ensuring successful product launches and adoption among enterprise customers with complex buying cycles.</p></li><li style=""><p style="min-height:1.5em">Work closely with our partners and serve as the voice of the customer in order to help identify potential problem areas and streamline process and procedures to address issues effectively</p></li><li style=""><p style="min-height:1.5em">Champion and gain consensus for product strategy and outcome roadmap(s) from stakeholders in areas like engineering, sales, customer success and beyond</p></li><li style=""><p style="min-height:1.5em">Assist and advise the engineering and support teams in breaking down complex projects into manageable parts with delivery plans, and track progress against those plans in order to meet delivery deadlines</p></li><li style=""><p style="min-height:1.5em">Effectively and proactively communicate with customers and build a trusted advisor relationship across our partners</p><p style="min-height:1.5em"></p></li></ul><p style="min-height:1.5em"><strong>Who We’re Looking For:</strong></p><ul style=""><li style=""><p style="min-height:1.5em">5 + years of direct product management experience in an Agile development environment, preferably at a growing startup or NLP / AI related product line</p></li><li style=""><p style="min-height:1.5em">Proven ability to develop and deliver data-driven product roadmaps</p></li><li style=""><p style="min-height:1.5em">Excellent communication, writing, and presentation skills</p></li><li style=""><p style="min-height:1.5em">Effective at managing priorities and solving challenges in a dynamic environment at a fast pace</p></li><li style=""><p style="min-height:1.5em">Ability to earn trust and thrive as a member of a cross-functional team</p></li><li style=""><p style="min-height:1.5em">Solid technical background to effectively communicate with software engineers</p></li><li style=""><p style="min-height:1.5em">A passion for applying artificial intelligence / machine learning to solve problems and or for building products that improve healthcare quality and access</p></li></ul><p style="min-height:1.5em">Come join our world-class team as we build and deploy AI solutions that will make a difference in millions of people’s lives. Our team is mission-driven and focused on transparency, inclusion, close collaboration, and building an incredible team.<br><br>If you're passionate about driving innovation and delivering impactful reporting solutions, we'd love to hear from you!</p><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>Rad AI offers a variety of benefits, including:</strong></p><ul style=""><li style=""><p style="min-height:1.5em"><em>Comprehensive Medical, Dental, Vision &amp; Life insurance</em></p></li><li style=""><p style="min-height:1.5em"><em>HSA (with employer match), FSA, &amp; DCFSA </em></p></li><li style=""><p style="min-height:1.5em"><em>401(k)</em></p></li><li style=""><p style="min-height:1.5em"><em>11 paid company holidays</em></p></li><li style=""><p style="min-height:1.5em"><em>Location-flexibility (remote-first company!)</em></p></li><li style=""><p style="min-height:1.5em"><em>Flexible PTO policy</em></p></li><li style=""><p style="min-height:1.5em"><em>Annual company-wide offsite</em></p></li><li style=""><p style="min-height:1.5em"><em>Periodic team offsites</em></p></li><li style=""><p style="min-height:1.5em"><em>Annual equipment stipend</em></p></li></ul><p style="min-height:1.5em"></p><p style="min-height:1.5em"><em>At Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.</em></p><img src="https://remotive.com/job/track/1937246/blank.gif?source=public_api" alt=""/>

Product Manager, Healthcare AI

<p><em>Are you passionate about the latest in AI and eager to drive real-world applications? Join us as an <strong>AI Innovations Analyst</strong> and help us transform workflows across departments with cutting-edge AI solutions!</em></p>
<hr>
<p><strong>Your Mission: Day to Day Responsibilities</strong></p>
<ul style="">
<li style=""><strong>Stay Updated:</strong> Monitor and analyze the latest developments in AI tools and services.</li>
<li style=""><strong>Identify Opportunities:</strong> Evaluate emerging AI capabilities, pinpointing ways to enhance workflows across teams.</li>
<li style=""><strong>Collaborate Across Teams:</strong> Partner with various departments to understand their processes and recommend AI-driven improvements.</li>
<li style=""><strong>Report &amp; Advise:</strong> Present regular updates on AI trends, offering actionable insights for team leaders and decision-makers.</li>
</ul>
<p><strong>Your Toolbox: Skills to be Successful</strong></p>
<ul style="">
<li style=""><strong>AI Savvy:</strong> Deep understanding of the AI landscape and familiarity with emerging trends and tools.</li>
<li style=""><strong>Analytical Insight:</strong> Strong assessment skills for evaluating AI tools’ potential impact on business operations.</li>
<li style=""><strong>Clear Communicator:</strong> Excellent skills in conveying complex ideas and collaborating with diverse teams.</li>
<li style=""><strong>Time Zone Flexibility:</strong> Preference for candidates based in European time zones, with a focus on Eastern Europe.</li>
</ul>
<p><strong>Your Perks: What's in it for you<br></strong></p>
<ul style="">
<li style=""><strong>Competitive Compensation:</strong> Hourly rate based on experience, with room for growth.</li>
<li style=""><strong>Cutting-Edge Projects:</strong> Work at the forefront of AI innovations, impacting real workflows and processes.</li>
<li style=""><strong>Collaborative Culture:</strong> Join a team that values creativity and collaboration across borders.</li>
</ul>
<hr>
<p><strong>Why Adaptive Teams?</strong><br>At Adaptive Teams, we don’t just fill positions – we create pathways to success. Whether you’re a seasoned pro or just starting out, we’re here to help you grow, innovate, and make an impact. If you’re looking for exciting opportunities and, a team that’s as passionate as you are, this is the place to be.</p>
<hr>
<p><strong>What to Expect from Our Application Process?</strong><br>Once you apply, you’ll <strong>receive an email</strong> guiding you through the next steps, including an assessment tailored to the role. <br><br>After that, we’ll ask you a few brief questions about your experiences and work style—this is your opportunity to showcase what makes you unique and how you approach challenges. Be sure to <strong>check your inbox</strong> (and <strong>your spam folder</strong>, just in case) for further instructions.<br><br>We understand <strong>your time is valuable</strong>, so we strive to keep the assessments <strong>under 45 minutes</strong> whenever possible, though some roles may require a slightly longer time investment.<br><br>Once selected, you’ll have the chance to <strong>schedule an interview</strong> with our team. We aim to make the process as smooth and transparent as possible, so you’ll always know where you stand.</p>
<img src="https://remotive.com/job/track/1949763/blank.gif?source=public_api" alt=""/>

AI Innovations Analyst

<p>At Cast &amp; Crew, we’ve empowered creativity and supported the global entertainment industry for decades. Together with our family of brands - Backstage, CAPS, Checks &amp; Balances, Final Draft, Media Services, Sargent-Disc, and The TEAM Companies – we operate as a combined entertainment technology and services provider offering industry standard screenwriting accounting software, digital payroll products, data &amp; reporting, and a host of creative tools.  The industry continues to move faster than ever, and the need for our expertise, our technology, and our people has never been greater.  We are a production’s best ally every step of the way. <strong>#OneCastOneCrew</strong></p><p><strong>About Cast &amp; Crew</strong><br>We grew from a modest small business in 1976 to be the premiere provider of entertainment technology and solutions, staying true to our mission of modernizing content production and leading the digital transformation within the industry. Our cloud-based solutions and industry expertise help streamline the entire production lifecycle and have revolutionized how content is made. We now have a global workforce across a host of storied brands, spanning all areas of produced and live entertainment, from film, television, streaming, to advertising, live events, and short-form. </p><h3>Lead, AI Engineer</h3><p>Regular Full-Time                                                                                                                                                                               </p><h3>Position Overview</h3><p>At Cast and Crew, we are revolutionizing the entertainment industry's back-office processes with reliable, AI-driven solutions. Our goal is to harness the power of machine learning to deliver personalized, real-time customer experiences. You will be at the forefront of integrating transformative AI technologies, helping us reshape how we support our clients and business partners. Together, we are redefining the future of entertainment services with products and solutions that our users trust and love.</p><p>A Lead AI Engineer will play a crucial role in turning vast amounts of complex data into valuable insights that will drive business decisions and innovation. A background in financial systems is a plus, as is development experience in an iterative, Agile/SCRUM environment.</p><h3>Responsibilities and Essential Skills</h3><ul><li>Engage proactively with diverse teams, including engineers, product managers, and stakeholders, to design and implement AI-driven solutions that significantly enhance both internal operations and customer experiences.</li><li>Lead the design, development, and maintenance of advanced AI components, such as ML models, ensuring rigorous model evaluation, experimentation, and governance protocols are in place.</li><li>Demonstrate extensive expertise in a wide array of AI technologies and tools, including AWS AI Services, VectorDBs, and frameworks such as PyTorch and TensorFlow, to architect robust and scalable solutions.</li><li>Demonstrate proficiency in developing and deploying generative AI models (e.g., text, image) and features</li><li>Research and implement cutting-edge optimization methodologies to boost the performance, scalability, and reliability of AI systems, focusing on achieving exceptional results in real-world applications.</li><li>Play a pivotal role in shaping the technical vision and long-term strategy for foundational AI systems, aligning with business objectives at Cast and Crew to drive innovation and excellence.</li><li>Exhibit a strong commitment to building high-quality, reliable systems while tackling impactful problems that enhance organizational efficiency and customer satisfaction.</li><li>Stay abreast of the latest advancements in AI research and effectively translate complex scientific publications into practical applications within production environments.</li><li>Thrive in ambiguous situations, demonstrating an ability to ask insightful questions and conduct thorough analyses to uncover and address core issues, facilitating effective solutions.</li><li>Possess a solid foundation in engineering principles, mathematics, software development, and artificial intelligence, with a keen ability to identify optimization opportunities across systems.</li><li>Demonstrate the courage to propose innovative ideas and explore uncharted territories to achieve business objectives, even in uncertain or challenging circumstances.</li><li>Analyze large, complex datasets to identify patterns, trends, and insights that can be used to enhance business strategies and decision-making processes</li><li>Design and implement statistical models, machine learning algorithms, feature engineering, and data mining techniques to develop predictive models and extract actionable insights from data</li><li>Other duties as assigned.</li></ul><h3>Qualifications</h3><ul><li>Excellent communication and teamwork skills</li><li>Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related discipline, emphasizing a strong theoretical and practical foundation.</li><li>Minimum of 4 years of hands-on experience in deploying scalable and responsible AI solutions across cloud platforms (e.g., AWS, Google Cloud, Azure), with a proven track record of successful project delivery.</li><li>Proficient in designing, developing, delivering, and supporting AI services, ensuring they align with industry best practices and organizational goals.</li><li>Demonstrated experience in creating and fine-tuning generative AI models using frameworks like TensorFlow or PyTorch, along with a strong understanding of techniques such as prompt engineering and model conditioning.</li><li>Experience in developing AI and machine learning algorithms using programming languages such as Python, Java, or Golang, focusing on efficiency and effectiveness.</li><li>Demonstrated experience in leveraging state-of-the-art techniques to optimize training and inference software, enhancing latency, throughput, and cost-efficiency in AI operations.</li><li>A strong passion for staying informed about the latest trends, research, and advancements in AI, with a commitment to judiciously applying novel techniques in production environments to maintain a competitive edge.</li></ul><h3>Special Work Conditions   </h3><ul><li>Sedentary – Involves sitting most of the time but may involve walking or standing for brief periods of time. Some positions may entail exerting up to 15 lbs. of force occasionally and/or a negligible amount of force to lift, carry, push, or pull.</li></ul>Compensation is commensurate with various factors including, but not limited to, relevant experience, qualifications, skills, training, licensure, certifications, geographic cost of labor, and other business and organizational needs. Compensation range for candidates in other locations may differ based on the cost of labor in that location.The compensation range for this position is:$165,000—$180,000 USD<h3>Benefits </h3><p>Cast &amp; Crew provides a comprehensive package of employee benefits including: Medical, Dental, Vision, PTO, health and wellness programs, employee discounts, and more! Note: Cast &amp; Crew benefits are subject to eligibility requirements. </p><p>Due to the high volume of applicants, it is likely that only shortlisted candidates will be contacted.  <br><br>CA residents: Your personal information may be collected in connection with certain services provided by Cast &amp; Crew or its affiliated companies.  A summary of your California privacy rights can be found at: <a href="https://www.castandcrew.com/privacy-policy/">https://www.castandcrew.com/privacy-policy/</a></p><p>Cast &amp; Crew is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.</p><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Lead AI Engineer

<div><a href="https://himalayas.app/companies/aircall">Aircall</a> is a place where voices are valued.</div><div>Backed by over $220 million of investment since 2015, we create technology that fuels accessible, transparent and collaborative communication to empower our base of 20,000+ customers (and growing) to make authentic, human connections.</div><div>Conversation is a cornerstone of our culture. Wherever our people find themselves in the <a href="https://himalayas.app/companies/aircall">Aircall</a> world – Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, or at home – everyone has a voice that is valued.</div><div>Whatever your background, wherever you’re from – we want you to join the conversation. Let’s talk.</div><div>As a <b style="font-size: 10.5pt;">Senior BE  AI Engineer</b>, you will be responsible for the <b style="font-size: 10.5pt;">design, development, deployment, and operation of business-critical AI features</b> that add customer value on top of Voice.</div><div><b style="font-size: 10.5pt;">Previous experience implementing AI features is a must. </b>Best practices, evangelization, and mentoring in your team and across the whole of Engineering will be part of your day to day <a href="http://job.Quality" style="font-size: 10.5pt;" class="postings-link" rel="noopener noreferrer">job.</a></div><div><a href="http://job.Quality" style="font-size: 10.5pt;" class="postings-link" rel="noopener noreferrer">Quality</a>, excellence, and agility drive our delivery processes and you will help us level these up. Using a variety of back-end stacks, appropriate for each requirement, but always hosted on AWS, we build added value and resilient services on top of voice and fully integrate with our customers’ business critical tools (CRM, Helpdesk, E-Commerce, …).</div><h3>Your mission @ <a href="https://himalayas.app/companies/aircall">Aircall</a>:</h3><ul><li>Participate in requirements analysis to help with providing the right technical and business solutions for our customers</li><li>Propose innovative solutions based on <b>AI landscape trends</b></li><li><b>Have key responsibilities within the design, architecture, and end-to-end delivery of AI key modules</b></li><li><b>Write clean scalable code and test and deploy applications and systems</b></li><li>Revise, update, refactor, and debug code</li><li>Be part of an engineering organization delivering high quality, secure, voice solutions to <a href="https://himalayas.app/companies/aircall">Aircall</a> clients</li><li>Involvement in product and platform performance optimization and live site monitoring</li><li>Participate in an on-call rotation to respond to critical system issues and ensure continuous system reliability</li><li>Mentor team members</li></ul><h3>A little about you:</h3><ul><li><b>AI experience is a must for this position: Knowledge about LLMs (GPT, Mistral, Llama, Claude, etc…) and experience developing with them (usage, prompting, etc), AI frameworks (Langchain, LlamaIndex, Auto Gen, etc), AI architectures (RAG, reranking, etc)</b></li><li>You have at least<b> 5+ years of experience in back-end development in a large scale, preferably typed language (Typescript/</b><a href="http://Node.js" class="postings-link" rel="noopener noreferrer"><b>Node.js</b></a><b>, Java, Scala),</b> with experience in Javascript, Ruby, or Python, with a focus on delivering for security, scalability, availability, and performance</li><li>Nice to have: Ideally you will <b>have worked with AWS</b> in a production environment and understand how to design for, deploy on and get the best out of, the environment and services provided by Amazon</li><li>Security is at the forefront of your mind in everything that you do</li></ul><div>We know that success comes from smart work and deserves to be recognized and rewarded</div><div>We value people who are bold, ambitious, collaborative and customer-centric. We’re a global community growing together.</div><div>If you love a good challenge, enjoy solving meaningful problems, and want to be a part of one of the fastest-growing B2B startups, then <a href="https://himalayas.app/companies/aircall">Aircall</a> is the company you are looking for!</div><div><a href="https://himalayas.app/companies/aircall">Aircall</a> offers a unique work environment and the chance to collaborate with diverse teammates across continents. We'll provide freedom and tools to allow you to thrive at your best, and foster an environment you can do it in.</div><h3>Why join us?</h3><div>🚀 Key moment to join <a href="https://himalayas.app/companies/aircall">Aircall</a> in term of growth and opportunities</div><div>💆‍♀️ Our people matter, work-life balance is important at <a href="https://himalayas.app/companies/aircall">Aircall</a></div><div>📚 Fast-learning environment, entrepreneurial and strong team spirit</div><div>🌍 45+ Nationalities: cosmopolite  multi-cultural mindset</div><div>💶 Competitive salary package  benefits (health coverage, lunch, commute, sports)</div><div><u><i>DEI Statement: </i></u></div><div><i>At <a href="https://himalayas.app/companies/aircall">Aircall</a>, we believe diversity, equity and inclusion, irrespective of origins, identity, background and orientations, are </i><b><i>core to our <a href="https://himalayas.app/companies/aircall">Aircall</a> journey.</i></b></div><div><i>We promote active inclusion to foster a</i><b><i> strong sense of belonging</i></b><i> which is one of our main strengths as a business. We strive to assemble diverse people that can </i><b><i>enrich and learn from each other</i></b><i>. We pledge to make sure everyone not only has a seat at the table but is valued at the table -- providing </i><b><i>equal opportunities </i></b><i>to develop and thrive.  </i></div><div><i>We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and </i><b><i>keep this conversation </i></b><i>open because we realize that we have work to do and much to learn.</i></div><div>Want to know more about candidate privacy? Find our <a href="https://aircall.io/candidate-privacy-notice/" class="postings-link">Candidate Privacy Notice here.</a></div><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Senior Software Engineer Backend/AI - Portugal

<p style="min-height:1.5em">Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.</p><p style="min-height:1.5em">Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.</p><p style="min-height:1.5em">We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense.</p><h3><strong>The Role</strong></h3><p style="min-height:1.5em">As an ML Systems Engineer at Abridge, you will be responsible for scaling and deploying machine learning models to handle increasing traffic demands and integrating them with various platforms. You'll play a pivotal role in building a scalable infrastructure that not only supports current deployments but also lays the foundation for long-term growth. Your role will be critical in ensuring our AI-driven healthcare platform is powered by robust, scalable, and efficiently deployed models.</p><h3><strong>What You'll Do</strong></h3><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Architect, design, and implement ML software systems for deploying and managing models at scale.</p></li><li><p style="min-height:1.5em">Stand up ML models for inference, starting with critical models like the 'linkages' model, and ensure they are capable of handling traffic increases.</p></li><li><p style="min-height:1.5em">Develop and maintain infrastructure that supports efficient ML operations, including model evaluations, deployments, and training at scale.</p></li><li><p style="min-height:1.5em">Collaborate closely with ML researchers, engineers, and cross-functional teams to ensure seamless integration of models with services like Zoom and Athena.</p></li><li><p style="min-height:1.5em">Work with stakeholders across machine learning and operations teams to iterate on systems design and implementation.</p></li><li><p style="min-height:1.5em">Optimize and maintain the performance of ML systems to ensure high availability, fault tolerance, and smooth scalability.</p></li><li><p style="min-height:1.5em">Troubleshoot production issues and continuously improve systems to enhance performance and efficiency.</p></li></ul><h3><strong>What You'll Bring</strong></h3><ul style="min-height:1.5em"><li><p style="min-height:1.5em">5+ years of experience in ML model deployment and scaling, with a focus on production-quality software</p></li><li><p style="min-height:1.5em">Strong proficiency in Python and Kubernetes, with experience building scalable ML infrastructure</p></li><li><p style="min-height:1.5em">Expertise in designing fault-tolerant, highly available systems.</p></li><li><p style="min-height:1.5em">Experience working with cloud environments, Infrastructure as Code (IaC), and managing deployments using Kubernetes.</p></li><li><p style="min-height:1.5em">Proficiency in optimizing system performance, debugging production issues, and designing systems for scalability and security.</p></li><li><p style="min-height:1.5em">Experience in software design and architecture for highly available machine learning systems for use cases like inference, evaluation, and experimentation</p></li><li><p style="min-height:1.5em">Excellent understanding of low-level operating systems concepts, including multi-threading, memory management, networking and storage, performance, and scale</p></li><li><p style="min-height:1.5em">Bachelor's/Master’s Degree or greater in Computer Science/Engineering, Statistics, Mathematics, or equivalent</p></li><li><p style="min-height:1.5em">Excellent interpersonal and written communication skills</p></li></ul><h3><strong>Ideally, You Have</strong></h3><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Experience with large-scale ML platforms like Ray, Databricks, or AnyScale</p></li><li><p style="min-height:1.5em">Expertise with ML toolchains such as PyTorch or TensorFlow</p></li><li><p style="min-height:1.5em">Proven experience working with distributed systems and handling inference at scale</p></li><li><p style="min-height:1.5em">Background in working with teams and leaders to deliver impactful ML-powered solutions in fast-paced environments</p></li><li><p style="min-height:1.5em">in machine learning toolchains and techniques, such as Pytorch or Tensorflow</p></li><li><p style="min-height:1.5em">Demonstrated experience incubating and productionizing new technology, working closely with research scientists and technical teams from idea generation through implementation</p></li></ul><p style="min-height:1.5em">We value people who want to learn new things, and we know that great team members might not perfectly match a job description. If you’re interested in the role but aren’t sure whether or not you’re a good fit, we’d still like to hear from you.</p><p style="min-height:1.5em"><strong>Base Salary: $200,000 USD - $265,000 USD per year + Equity</strong></p><p style="min-height:1.5em">The salary range provided is based on transparent pay guidelines and is an estimate for candidates residing in the San Francisco and New York City metro areas. The actual base salary will vary depending on the candidate's location, relevant experience, skills, qualifications, and other job-related factors. Additionally, this role may include the opportunity to participate in a company stock option plan as part of the total compensation package.</p><p style="min-height:1.5em"><strong>Must be willing to work from our SF office at least 3x per week</strong></p><p style="min-height:1.5em">This position requires a commitment to a hybrid work model, with the expectation of coming into the office a minimum of (3) three times per week. Relocation assistance is available for candidates willing to move to San Francisco within 6 months of accepting an offer.</p><h3>Must be willing to travel up to 10%</h3><p style="min-height:1.5em">Abridge typically hosts a three-day builder team retreat every 3-6 months. These retreats often feature internal hackathons, collaborative project sessions, and social events that allow the team to connect in person.</p><p style="min-height:1.5em">We value people who want to learn new things, and we know that great team members might not perfectly match a job description. If you’re interested in the role but aren’t sure whether or not you’re a good fit, we’d still like to hear from you.</p><h3><strong>Why Work at Abridge?</strong></h3><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Be a part of a trailblazing, mission-driven organization that is powering deeper understanding in healthcare through AI!</p></li><li><p style="min-height:1.5em">Opportunity to work and grow with talented individuals and have ownership and impact at a high-growth startup.</p></li><li><p style="min-height:1.5em"><strong>Flexible/Unlimited PTO </strong>— Salaried team members can take off as much approved time off as they need, plus 13 paid holidays</p></li><li><p style="min-height:1.5em"><strong>Equity</strong> — For all salaried team members</p></li><li><p style="min-height:1.5em"><strong>Medical insurance</strong> — We pay 100% of the premium for you + 75% for dependents. 3 Aetna plans to choose from.</p></li><li><p style="min-height:1.5em"><strong>Dental &amp; Vision insurance </strong>— We pay 100% of the premium for you + 75% for dependents. 2 Aetna plans to choose from.</p></li><li><p style="min-height:1.5em"><strong>Flexible Spending  (FSA) &amp; Health Savings (HSA) Accounts</strong></p></li><li><p style="min-height:1.5em"><strong>Learning and Development budget </strong>— $3,000 per year for coaching, courses, workshops, conferences, etc. </p></li><li><p style="min-height:1.5em"><strong>401k Plan </strong>— Contribute pre-tax dollars toward retirement savings.</p></li><li><p style="min-height:1.5em"><strong>Paid Parental Leave </strong>— 16 weeks paid parental leave, for all full-time employees</p></li><li><p style="min-height:1.5em"><strong>Flexible working hours</strong> — We care more about what you accomplish than what specific hours you’re working.</p></li><li><p style="min-height:1.5em"><strong>Home Office Budget </strong>— We provide up to $1,600 in a one-time reimbursement to set up your home office.</p></li><li><p style="min-height:1.5em"><strong>Sabbatical Leave </strong>— 30 days of paid Sabbatical Leave after 5 years of employment.</p></li><li><h3>...Plus much more!</h3></li></ul><h3><strong>Life at Abridge</strong></h3><p style="min-height:1.5em">At Abridge, we’re driven by our mission to bring understanding and follow-through to every medical conversation. Our culture is founded on doing things the “inverse” way in a legacy system—focusing on patients, instead of the system; focusing on outcomes, instead of billing; and focusing on the end-user experience, instead of a hospital administrator's mandate.</p><p style="min-height:1.5em">Abridgers are engineers, scientists, designers, and health policy experts from a diverse set of backgrounds—an experiment in alchemy that helps us transform an industry dominated by EHRs and enterprise into a consumer-driven experience, one recording at a time. We believe in strong ideas, loosely held, and place a high premium on a growth mindset. We push each other to grow and expose each other to the latest in our respective fields. Whether it’s holding a PhD-level deep dive into understanding fairness and underlying bias in machine learning models, debating the merits of a Scandinavian design philosophy in our UI/UX, or writing responses for Medicare rules to influence U.S. health policy, we prioritize sharing our findings across the team and helping each other be successful.</p><h3><strong>Diversity &amp; Inclusion</strong></h3><p style="min-height:1.5em">Abridge is an equal opportunity employer. Diversity and inclusion is at the core of what we do. We actively welcome applicants from all backgrounds (including but not limited to race, gender, educational background, and sexual orientation).</p><h3><strong>Staying Safe - Protect Yourself From Recruitment Fraud</strong></h3><p style="min-height:1.5em">We are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @<a href="http://<a%20href='https://himalayas.app/companies/abridge'>abridge</a>.com" rel="noopener noreferrer nofollow"></a><a href="https://himalayas.app/companies/abridge">abridge</a>.com email address. You can learn more about how to protect yourself from these types of fraud by referring to <a href="https://consumer.ftc.gov/consumer-alerts/2023/05/scammers-are-hijacking-job-ads-heres-how-spot-fakes" class="postings-link" rel="noopener noreferrer nofollow"><u>this article</u></a>. Please exercise caution and cease communications if something feels suspicious about your interactions. </p><h3>Compensation Range: $200K - $265K</h3><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

ML Platform Engineer (Staff/Senior)

<h3>About the job</h3><h3>Accelerate your career with PradeepIT</h3><p>PradeepIT is one of the largest, globally recognized IT Consulting firm to connect India's deeply vetted talent team to global customer.</p><p>Were headquartered in Bengaluru, Silicon Valley of India. PradeepITs customers include SAP Lab, Bosch, Rolls-Royce, Daikin, Daimler and J&amp;J and hundreds of other Fortune 500 companies and fast-growing startups.</p><p>With continuous hard work and working remotely by choice, PradeepIT is certified as a Great Place to Work! Trusted by leading brands and fortune 500 companies from around the world, we have achieved:</p><h3>6+ Years of Experience</h3><h3>580+ Open source technology Consultant</h3><h3>120+ SAP Consultant</h3><h3>40+ Salesforce Consultant</h3><h3>60+ Adobe Consultant</h3><h3>100+ Mobility Consultant</h3><h3>890+ Clients in APAC, EMEA &amp; USA</h3><h3>Our Beliefs</h3><p>PradeepIT believes in connecting people across the globe and provide them an opportunity work on remotely. Being a people-first organization, PradeepIT constantly strives for individuals who won't just keep up, but break new ground, work with cutting edge technology and ramp-up their skills with course created by our Vertical Heads, Senior Architect for freely with help of PradeepIT Academy.</p><h3>Principal Engineer (Big Data Engineer)</h3><h3>Experience: 12  15 years</h3><h3>﻿<br></h3><p><strong>Requirements:</strong></p><ul><li><strong>Should have a strong technical background with <strong>Big data, Spark, Python (PySpark) / Scala/Java, AWS/Azure/GCP</strong>;</strong></li><li><strong>Experience working with MS SQL and NoSQL databases (Hbase, Cassandra).</strong></li><li><strong>Abilities to build Data Pipelines (from ETL to consumption) using Apache Stack Tools, GCP, AWS and Azure.</strong></li><li><strong>Design and develop complex mappings, performance tuning of mappings, Process Flows</strong></li><li><strong>Hands-on experience in System designing, Event sourcing, and message broker architecture</strong></li><li><strong>Requirement gathering and analysis</strong></li><li><strong>Define, understand, and analyze non-functional requirements for the project</strong></li><li><strong>Lead the technical team</strong></li><li><strong>Should be able to compare technologies to find the best fit for project requirements</strong></li><li><strong>Should be able to troubleshoot complex or unusual bugs</strong></li></ul><h3><strong>Responsibilities:</strong></h3><ul><li><strong>Writing and reviewing great quality code/support</strong></li><li><strong>Understanding the client's business use cases and technical requirements and being able to convert them into a technical design that elegantly meets the requirements.</strong></li><li><strong>Mapping decisions with requirements and being able to translate the same to developers.</strong></li><li><strong>Identifying different solutions and being able to narrow down the best option that meets the client's requirements.</strong></li><li><strong>Defining guidelines and benchmarks for NFR considerations during project implementation</strong></li><li><strong>Writing and reviewing design documents explaining the overall architecture, framework, and high-level design of the application for the developers</strong></li><li><strong>Review architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.</strong></li><li><strong>Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it</strong></li><li><strong>Understanding and relating technology integration scenarios and applying these learnings in projects</strong></li><li><strong>Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.</strong></li></ul><h3><strong>﻿﻿<br></strong></h3><p></p><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Principal Engineer (Big Data Engineer)

<h3>About <a href="https://himalayas.app/companies/reality-defender">Reality Defender</a></h3><p style="min-height:1.5em"><a href="https://himalayas.app/companies/reality-defender">Reality Defender</a> provides accurate, multi-modal AI-generated media detection solutions to enable enterprises and governments to identify and prevent fraud, disinformation, and harmful deepfakes in real time. <strong>A Y Combinator graduate, Comcast NBCUniversal LIFT Labs alumni, and backed by DCVC</strong>, <a href="https://himalayas.app/companies/reality-defender">Reality Defender</a> is the first company to pioneer multi-modal and multi-model detection of AI-generated media. Our web app and platform-agnostic API built by our research-forward team ensures that our customers can swiftly and securely mitigate fraud and cybersecurity risks in real time with a frictionless, robust solution.</p><p style="min-height:1.5em"><a href="https://www.youtube.com/watch?v=TKOZmwyNUNM" rel="noopener noreferrer nofollow"><em>Youtube: </em></a><em><a href="https://himalayas.app/companies/reality-defender">Reality Defender</a> Wins RSA Most Innovative Startup</em></p><h3>Why we stand out:</h3><ul style="min-height:1.5em"><li><p style="min-height:1.5em"><strong>Our best-in-class accuracy </strong>is derived from our sole, research-backed mission and use of multiple models per modality</p></li><li><p style="min-height:1.5em">We can <strong>detect AI-generated fraud and disinformation in near- or real time</strong> across all modalities including audio, video, image, and text.</p></li><li><p style="min-height:1.5em">Our platform is <strong>designed for ease of use</strong>, featuring a versatile API that integrates seamlessly with any system, an intuitive drag-and-drop web application for quick ad hoc analysis, and platform-agnostic real-time audio detection tailored for call center deployments.</p></li><li><p style="min-height:1.5em">We’re <strong>privacy first</strong>, ensuring the strongest standards of compliance and keeping customer data away from the training of our detection models.</p></li></ul><h3>Role and Responsibilities</h3><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Train/finetune deep learning models in PyTorch on new datasets and per client requirements</p></li><li><p style="min-height:1.5em">Model monitoring and quality assurance for deployed models</p></li><li><p style="min-height:1.5em">ML workflow automation and continuous integration/continuous delivery (CI/CD) for client-facing models</p></li><li><p style="min-height:1.5em">Adopt standard model optimization/compression methods for inference speed-up</p></li><li><p style="min-height:1.5em">Implement model obfuscation and vulnerability checks</p></li><li><p style="min-height:1.5em">Collaborate with both AI and Engineering teams for model/infrastructure needs and performance guidance</p></li></ul><h3><strong>About You</strong></h3><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Masters or PhD in Computer Science with specialization in machine learning/deep learning (ML/DL)</p></li><li><p style="min-height:1.5em">2+ years coding experience in Python; Strong programming skills required</p></li><li><p style="min-height:1.5em">2+ years industry experience with model training/finetuning in PyTorch</p></li><li><p style="min-height:1.5em">[Preferred] Experience finetuning large foundation models, e.g. wav2vec, HuBERT for downstream classification</p></li><li><p style="min-height:1.5em">Experience with automated testing and CI/CD concepts in machine learning workflow</p></li><li><p style="min-height:1.5em">Strong foundation in machine learning and data science</p></li><li><p style="min-height:1.5em">Good communication and inter-personal skills, comfortable with client-facing responsibilities</p></li></ul><h3>Compensation Range: $130K - $190K</h3><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Applied AI Engineer II (Audio)

<h3>About the job</h3><h3>Accelerate your career with PradeepIT</h3><p>PradeepIT is one of the largest, globally recognized IT Consulting firm to connect Indias deeply vetted talent team to global customer.</p><p>Were headquartered in Bengaluru, Silicon Valley of India. PradeepITs customers include SAP Lab, Bosch, Rolls-Royce, Daikin, Daimler and J&amp;J and hundreds of other Fortune 500 companies and fast-growing startups.</p><p>With continuous hard work and working remotely by choice, PradeepIT is certified as a Great Place to Work! Trusted by leading brands and fortune 500 companies from around the world, we have achieved:</p><h3>6+ Years of Experience</h3><h3>580+ Open source technology Consultant</h3><h3>120+ SAP Consultant</h3><h3>40+ Salesforce Consultant</h3><h3>60+ Adobe Consultant</h3><h3>100+ Mobility Consultant</h3><h3>890+ Clients in APAC, EMEA &amp; USA</h3><h3>Our Beliefs</h3><p>PradeepIT believes in connecting people across the globe and provide them an opportunity work on remotely. Being a people-first organization, PradeepIT constantly strives for individuals who won't just keep up, but break new ground, work with cutting edge technology and ramp-up their skills with course created by our Vertical Heads, Senior Architect for freely with help of PradeepIT Academy.</p><h3>Responsibilities<br><br></h3><ul><li>Design, developing and maintaining the data architecture, data models and standards for various Data Integration &amp; Data Warehousing projects in GCP cloud, combined with other technologies</li><li>Ensure the use of Big Query SQL, Java/Python/Scala and Spark reduces lead time to delivery and aligns to overall group strategic direction so that cross-functional development is usable</li><li>Ownership of technical solutions from design and architecture perspective, ensure the right direction and propose resolution to potential data pipeline-related problems.</li><li>Expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.</li><li>Provide technical guidance and support to a vibrant engineering team. Coaching and teaching your teammates how to do great data engineering.</li><li>A deep understanding of data architecture principles and data warehouse methodologies specifically Kimball or Data Vault.<br><br></li></ul><h3>Requirements<br><br></h3><ul><li>An expert in GCP, with at least 5-7 years of delivery experience with: Dataproc, Dataflow, Big Query, Compute, Pub/Sub, and Cloud Storage</li><li>Highly knowledgeable in industry best practices for ETL Design, Principles, and Concepts</li><li>Equipped with 3 years of experience with programming languages  Python</li><li>A DevOps and Agile engineering practitioner with experience in a test-driven development</li><li>Experienced in the following technologies: Google Cloud Platform, Dataproc, Dataflow, Spark SQL, Big Query SQL, PySpark and Python/Scala</li><li>Experienced in the following BigData technologies: Spark, Hadoop, Kafka etc..<br><br></li></ul><h3>Technologies<br><br></h3><ul><li>Big Data</li><li>Spark</li><li>Python/Scala</li><li>GCP</li></ul><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Big Data & GCP- Senior Software Engineer

<div>We believe AI will usher in a new era of human creativity, thinking, and innovation. Our generative AI platform is purpose-built to drive these outcomes for our customers, giving them the ability to design and create high-impact, high-leverage AI workflows that power their business.</div><div>We have solid traction but are still a young company. This role is what you make of it, and your teammates and colleagues will help you every step of the way. You’ll look back on your time at <a href="http://<a%20href='https://himalayas.app/companies/copy-ai'>Copy.ai</a>"></a><a href="https://himalayas.app/companies/copy-ai">Copy.ai</a> and view it as the most impactful and highest growth phase of your career. There’s a lot to take on, but we trust that you’re up to the challenge.</div><div><a href="http://copy.ai/"></a><a href="https://himalayas.app/companies/copy-ai">Copy.ai</a> is a fully remote company. All employees must be able to work 9am-5pm in their timezone, Pacific to Eastern.</div><div>As the Head of Data Science you will own all aspects of Data Science including Statistical Science, Data Analytics, Data Management, and Data Science Business Operations. As the subject matter expert, you will  provide key statistical expertise in keeping with cutting-edge methodologies to inform decision-making across the org. You will ensure systems, capabilities, and resources are established to optimize the acquisition, analysis, and interpretation of data. You will craft the overall technical vision and execution for all data science and machine learning initiatives across the entire <a href="http://<a%20href='https://himalayas.app/companies/copy-ai'>Copy.ai</a>"></a><a href="https://himalayas.app/companies/copy-ai">Copy.ai</a> org. You will lead a team of data scientists and prompt engineers, and work directly in partnership with product managers and engineering leaders to empower them with data-driven insights and solutions.  You, along with the data science team, will dig into the data to uncover new insights, identify opportunities and actions for product improvements and new product development, determine product metrics with goals, design experiments, and promote customer experience, and engagement. </div><h3>What you'll do:</h3><ul><li>Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.</li><li>Lead and scale a high performing team of data scientists and prompt engineers </li><li>Build and prototype analysis pipelines for the team to provide insights at scale</li><li>Develop comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development</li><li>Partner closely with engineering and product teams to deliver on major cross-functional measurements, testing, and modeling efforts</li></ul><h3>About you:</h3><ul><li>7+ Years of experience in data science or machine learning</li><li>3+ years of experience leading a data science or machine learning team owning a player-coach relationship</li><li>M.S. or PhD in data science, machine learning, statistics, mathematics, or a similar field </li><li>Experience with large data sets and analytical tools</li><li>Experience building data science models (Regression, Decision Trees, K-Means, etc.)</li><li>Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.</li><li>Demonstrated skills in selecting the right statistical tools given a data analysis problem. </li><li>Proactive, organized problem-solver with the ability to execute at both the strategic and tactical level</li><li>Excellent communication and interpersonal skills</li><li>Based in the San Francisco Bay Area</li></ul><div>*<a href="http://copy.ai/" class="postings-link"></a><a href="https://himalayas.app/companies/copy-ai">Copy.ai</a> is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We encourage applications from people of all races, religions, national origins, genders, sexual orientations, gender identities, gender expressions and ages, as well as veterans and individuals with disabilities.*</div><div>What We Offer 😎:</div><div>👫 A close-knit and collaborative early-stage startup environment where every voice is heard and every opinion matters; 50 team members as of 11/2024</div><div>💰 Competitive salary and stock option equity packages; We're a <a href="https://techcrunch.com/2021/10/14/writing-helper-copy-ai-closes-on-its-second-funding-round-this-year/?guccounter=1guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8guce_referrer_sig=AQAAAAnWP-Nb6DoI2ZMjMni1qd_5ALr869Y3EcewDVYdTUTcqrWkiPW4qGFiLahu0AuiXEFX00oe8qh5z5VJoiFihMXZyCmnGyQEd3WnptogCxotp7SG9RimFqBIz8FiBde1OoYRfozyu8VYWmU7zfEi5eP7FvcmnF31eov48BzxtKgX" class="postings-link">Series A</a> startup</div><div>🏥  Excellent Medical Plans to choose from including HSA plans, PPOs, and HMOs from Kaiser and Aetna; Dental and Vision insurance through Guardian; <a href="http://<a%20href='https://himalayas.app/companies/copy-ai'>Copy.ai</a>" class="postings-link"></a><a href="https://himalayas.app/companies/copy-ai">Copy.ai</a> pays up to $800/month per employee for monthly premiums</div><div>🏠 100% REMOTE startup! Our team is distributed all over the US and Canada</div><div>🛫UNLIMITED PTO; We truly believe in work-life balance and that hard work should be balanced with time for rest and rejuvenation </div><div>📈 401k plan and automatic 3% employer contribution from Day 1!!!!</div><div>💻 Brand new work-sponsored computer</div><div>🏝  IRL / In-Person retreats throughout the year</div><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Head of Data Science

<h3>Position: <strong>Tech Lead - Gen AI</strong></h3><h3>Remote: Yes</h3><h3>Duration: 6 months extendable</h3><h3>Experience: 6+ Years</h3><h3>Working shift timing: India shift</h3><p>Selection Process: Technical Round followed by Practice Round. </p><h3>Job Description: Please find below</h3><ul><li>Highly skilled Development Lead with expertise in <strong>Generative AI.</strong></li><li>Developing cutting-edge AI models and systems.</li><li>Strong technical background and a passion for pushing the boundaries of AI technology.</li></ul><ul><li><strong>Responsibilities:</strong></li><li>Develop and implement advanced Generative AL models, with a <strong>specific focus on Text, Image generation and fine-tuning AI</strong></li><li> Collaborate with cross-functional teams to understand client requirements and translate them into scalable AI solutions.</li><li> Research and explore emerging trends and techniques in the field of generative AI to stay at the forefront of innovation.</li><li>Evaluate and fine-tune models to ensure high performance and accuracy.</li><li>Collaborate with data scientists and engineers to integrate AI solutions into existing systems.</li><li>Stay up-to-date with the latest advancements in the field of AI and contribute to the company's technical knowledge base.</li></ul><h3>Primary Technical Skills</h3><ul><li><strong>Must have Skills</strong><h3>Must have : Python</h3><p>Proficiency in <strong>Python programming</strong><br><strong>End to End Understanding of back end work Flows</strong><br>Good understanding of <strong>chatbots /Dialogue Flows</strong><br>Good Understanding of <strong>NOSQL and Unstructured data</strong><br>Ready to work on POC &amp; Technical Evaluations</p></li></ul><ul><li><strong>Good to have Skills</strong></li><li>Good to have frameworks such as <strong>TensorFlow, Py-Torch, or Keras.</strong></li><li>Strong Good to have Basic knowledge of machine learning algorithms and their practical applications.</li><li>Experience in feature engineering, and model evaluation.</li><li>Familiarity and Hands-on Exp with one of cloud platforms such as AWS and Azure for scalable model deployment.</li></ul><ul><li><strong>Secondary Technical Skills:</strong></li><li>Basic Understanding of natural language processing<strong> (NLP) techniques and frameworks.</strong></li><li>Familiarity with <strong>computer vision and image processing techniques.</strong></li><li>Familiarity with <strong>distributed computing and parallel processing.</strong></li></ul><ul><li><strong>Innovation and Technical Skills:</strong></li><li>Proven track record of developing innovative solutions and pushing the boundaries with the flavor of AI technology.</li><li>Strong problem-solving skills and ability to think creatively.</li><li>Basic understanding of machine learning principles and techniques.</li><li>Ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.</li><li>Strong analytical and critical thinking abilities.</li></ul><h3>Qualifications:</h3><p><strong>Degree in Computer Science</strong>, or a related field.</p><p>Some project experience in implementing Generative AI models and solutions in real-world applications.</p><p>Strong problem-solving and analytical skills.</p><p>Excellent communication and collaboration abilities.</p><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Tech Lead - Gen AI with 6+ Years

<p><em>Elevating the quality of human life through every conversation</em></p><h3>ML Engineer - Inference</h3><h3>Location: United States </h3><h3>Experience: 5 years</h3><h3>About the Team:</h3><p>At <a href="https://himalayas.app/companies/symbl-ai">Symbl.ai</a>, our team is dedicated to revolutionizing the field of Conversation AI. We are a collaborative and innovative group, pushing the boundaries of what's possible in AI-driven communication technologies.<br></p><h3>About the Role:</h3><p>As an ML Engineer specializing in Inference at <a href="https://himalayas.app/companies/symbl-ai">Symbl.ai</a>, you will play a key role in the development and optimization of our Nebula large language model,  as well as other Conversation AI projects. You will be responsible for implementing and deploying deep learning models to enable efficient and accurate inference in real-time communication scenarios.</p><h3>Highlights for ML Engineer - Inference:</h3><p>Joining <a href="https://himalayas.app/companies/symbl-ai">Symbl.ai</a> as an ML Engineer focused on Inference offers the opportunity to work on cutting-edge technologies in the Conversation AI space. You will be at the forefront of shaping the future of communication with our innovative product, Nebula, and other exciting projects.</p><h3>Working as an ML Engineer - Inference, you will:</h3><ul><li>Design and implement efficient algorithms and models for real-time inference in Conversation AI applications, with a focus on Nebula.</li><li>Collaborate with cross-functional teams to integrate machine learning models into production systems, ensuring scalability, reliability, and performance.</li><li>Optimize and fine-tune machine learning models for resource-constrained environments, such as edge devices or cloud-based platforms.</li><li>Develop monitoring and evaluation mechanisms to assess the performance and effectiveness of inference models in real-world scenarios.</li><li>Stay updated on the latest advancements in machine learning inference techniques and methodologies, incorporating new approaches into our projects as needed.</li><li>Contribute to the documentation and dissemination of best practices for implementing and deploying machine learning inference solutions.</li></ul><h3>To excel in this role, you should:</h3><ul><li>Possess a strong background in machine learning, with hands-on experience in developing and deploying inference models in production environments.</li><li>Demonstrate proficiency in Python and relevant machine learning frameworks such as TensorFlow or PyTorch.</li><li>Have experience with optimization techniques for machine learning models, including quantization, pruning, and model compression.</li><li>Exhibit strong problem-solving skills and the ability to troubleshoot and debug complex technical issues related to inference.</li><li>Possess excellent communication and collaboration skills, with the ability to work effectively in a remote team environment.</li><li>Show a passion for learning and staying updated on advancements in machine learning inference technologies, with a keen interest in applying these technologies to Conversation AI.</li><li>Be experienced in fundamental libraries for accelerating ML workflows, like CUDNN/TensorRT, ROCm, OpenVino, or OpenPPL. Understanding of one or more ML communication frameworks like NCCL is an advantage.</li></ul><p><strong><em>Please Note:</em></strong><em> Although we have focused centers in Seattle, WA there are no restrictions on where you can be located for this role - Symbl is fully remote.</em></p><h3>Benefits and Perks (US)</h3><ul><li>100% covered health coverage for you, and 90% for your dependents.</li><li>100% covered Life &amp; AD&amp;D, and short-term disability coverage for you.</li><li>401(k) with 3% matching.</li><li>Continued education and professional development.</li><li>We are aggressive with our goals and hence speed with predictability are critical when it comes to execution. Symbl’s fixed leave policy of 18 Planned vacation days, 8 sick days, generous maternity, paternity and 16 annual holidays - are carefully curated to deliver on those core company values.<br><br></li></ul><p><strong>About</strong><a href="http://symbl.ai/"><strong> </strong></a><strong><a href="https://himalayas.app/companies/symbl-ai">Symbl.ai</a></strong><br>We are a venture-funded AI startup building conversational AI since 2018; and the journey of building safe, secure and business-ready AI to solve problems in communication experiences informs a lot of the decisions we make about how we build our technology. Symbl is a developer-first platform whose core mission is to bring understanding and generative AI to every business that  relies on understanding human conversations, and give machines the ability to comprehend communications better than humans. We believe this will transform how businesses think about their knowledge and will accelerate the various use cases where unlocking unstructured data for business use cases generates ROI at scale.<br><br>We obsess about a great developer experience for all our products, the business-readiness of the AI we build, and pride ourselves in bringing state-of-the-art Large Language Models (LLMs) to multi-modal multi-party conversations. </p><p>As an organization, we firmly believe in equal opportunity and do not engage in any form of discrimination based on race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or any other legally protected status. We are committed to maintaining a diverse and inclusive work environment where every individual is respected and valued for their unique contributions.<br><br><strong>How to Apply:</strong>  Email with your cover letter including any relevant links to Github or your recent publications to <a href="mailto:careers@symbl.ai">careers@symbl.ai</a>. We look forward to getting to know you!</p><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

ML Engineer - Inference

<p><strong>Outlier helps the world’s most innovative companies improve their AI models by providing human feedback. Are you an experienced software engineer who would like to lend your coding expertise to train AI models?</strong></p>
<p><strong>We partner with organizations to train AI large language models, helping cutting-edge generative AI models write better code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. There is no requirement for previous AI experience.</strong></p>
<p><strong>About the opportunity:</strong></p>
<ul style="">
<li style="">Outlier is looking for talented coders to help train generative artificial intelligence models</li>
<li style="">This freelance opportunity is remote and hours are flexible, so you can work whenever is best for you</li>
</ul>
<p><strong>You may contribute your expertise by…</strong></p>
<ul style="">
<li style="">Crafting and answering questions related to computer science in order to help train AI models</li>
<li style="">Evaluating and ranking code generated by AI models</li>
</ul>
<p><strong>Examples of desirable expertise:</strong></p>
<ul style="">
<li style="">Currently enrolled in or completed a bachelor's degree or higher in computer science at a selective institution</li>
<li style="">Proficiency working with one or more of the the following languages: Java, Python, JavaScript / TypeScript, C++</li>
<li style="">Ability to articulate complex concepts fluently in English</li>
<li style="">Excellent attention to detail, including grammar, punctuation, and style guidelines</li>
</ul>
<p><strong>Payment:</strong></p>
<ul style="">
<li style="">Currently, pay rates for core project work by Tier 2 coding experts in USA average $30 per hour.</li>
<li style="">Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project.</li>
</ul><div class='"content-conclusion"'><p><em>PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with the </em><em><a class='"c-link' href="%22https://outlier.ai/legal/privacy-policy%22" rel="nofollow" target='"_blank"'>Outlier Privacy Policy</a></em><em> and our internal policies and programs designed to protect personal data.</em></p>
<p><em>This is a 1099 contract opportunity on the </em><em><a class='"c-link' href="%22http://outlier.ai/%22" rel="nofollow" target='"_blank"'>Outlier.ai</a></em><em> platform. Because this is a freelance opportunity, we do not offer internships, sponsorship, or employment. You must be authorized to work in your country of residence. If you are an international student, you may be able to sign up for Outlier if you are on a visa. You should contact your tax and/or immigration advisor with specific questions regarding your circumstances.</em></p></div><img src="https://remotive.com/job/track/1949822/blank.gif?source=public_api" alt=""/>

Big Data Engineer for AI Training

<div class='"content-intro"'><p><strong>About TailorCare</strong></p>
<p>TailorCare is transforming the experience of specialty care. Our comprehensive care program takes a deeply personal, evidence-based approach to improving patient outcomes for joint, back, and muscle conditions. By combining a careful assessment of patients’ symptoms, health histories, preferences, and goals with predictive data and latest evidence-based guidelines, we help patients choose—and navigate—the most effective treatment pathway for them, every step of the way.</p>
<p>TailorCare values the experiences and perspectives of individuals from all backgrounds. We are a highly collaborative, curious, and determined team passionate about scaling a high-growth start-up to improve the lives of those in pain. TailorCare is a remote-first company with a hybrid office in Nashville.</p></div><p><strong>About the Role:</strong></p>
<p>We are seeking a seasoned and innovative leader to own and drive our data science and machine learning efforts at TailorCare. You will set technical direction, guide the team in solutioning for exciting business problems, create clarity in scope and deliverables, communicate progress, and help your team resolve dependencies. We are a fast-paced healthcare start-up prototyping new solutions that serve patients, providers, and internal clinical operations. You will play a proactive role in identifying opportunities where data can be used to solve business problems at scale. Your leadership will guide the data science and machine learning team to move quickly and to deliver at high quality. You will partner with leaders across data engineering, analytics, medecon, product, and software engineering to make investments that meet and anticipate business needs. This role has high growth potential for personal development and for building a strong team. </p>
<p> </p>
<p><strong>Key Responsibilities:</strong></p>
<ul style="">
<li style="">Lead and grow a high-performing data science and machine learning team to prototype, productionize, and iterate upon solutions that deliver business impact. </li>
<li style="">Oversee the entire lifecycle of data science projects, including: scoping, design, modeling, validation, deployment.</li>
<li style="">Execute on roadmap collaborating closely with product, data engineering, analytics, medecon and other stakeholders.</li>
<li style="">Create a team culture of technical excellence and innovation</li>
<li style="">Help the team make decisions quickly and deliver at high quality</li>
<li style="">Identify and champion new areas of opportunity aimed at delivering value to patients and providers.</li>
</ul>
<p> </p>
<p><strong>Key Qualifications:</strong></p>
<ul style="">
<li style="">7+ years data science working experience including building and deploying machine learning models and applications</li>
<li style="">5+ years of managing data science and/or machine learning teams</li>
<li style="">Proven track record of hiring, retaining, and growing strong talent</li>
<li style="">Strong knowledge of ML, NLP, LLM technologies, working with large data sets</li>
<li style="">Excellent communication and presentation skills </li>
<li style="">Bachelor's Degree in relevant field (Preferably: Data Science, Healthcare Informatics, Statistics, Economics, Mathematics, Computer Science, etc.) or equivalent related work experience</li>
<li style="">Experience in healthcare, healthcare data (claims, 
<p><strong>About the Role:</strong></p>
<p>We are seeking a seasoned and innovative leader to own and drive our data science and machine learning efforts at TailorCare. You will set technical direction, guide the team in solutioning for exciting business problems, create clarity in scope and deliverables, communicate progress, and help your team resolve dependencies. We are a fast-paced healthcare start-up prototyping new solutions that serve patients, providers, and internal clinical operations. You will play a proactive role in identifying opportunities where data can be used to solve business problems at scale. Your leadership will guide the data science and machine learning team to move quickly and to deliver at high quality. You will partner with leaders across data engineering, analytics, medecon, product, and software engineering to make investments that meet and anticipate business needs. This role has high growth potential for personal development and for building a strong team. </p>
<br>
<p><strong>Key Responsibilities:</strong></p>
<ul style="">
<li style="">Lead and grow a high-performing data science and machine learning team to prototype, productionize, and iterate upon solutions that deliver business impact. </li>
<li style="">Oversee the entire lifecycle of data science projects, including: scoping, design, modeling, validation, deployment.</li>
<li style="">Execute on roadmap collaborating closely with product, data engineering, analytics, medecon and other stakeholders.</li>
<li style="">Create a team culture of technical excellence and innovation</li>
<li style="">Help the team make decisions quickly and deliver at high quality</li>
<li style="">Identify and champion new areas of opportunity aimed at delivering value to patients and providers.</li>
</ul>
<br>
<p><strong>Key Qualifications:</strong></p>
<ul style="">
<li style="">7+ years data science working experience including building and deploying machine learning models and applications</li>
<li style="">5+ years of managing data science and/or machine learning teams</li>
<li style="">Proven track record of hiring, retaining, and growing strong talent</li>
<li style="">Strong knowledge of ML, NLP, LLM technologies, working with large data sets</li>
<li style="">Excellent communication and presentation skills </li>
<li style="">Bachelor's Degree in relevant field (Preferably: Data Science, Healthcare Informatics, Statistics, Economics, Mathematics, Computer Science, etc.) or equivalent related work experience</li>
<li style=""><strong>Experience in healthcare, healthcare data (claims data, aggregate patient data and VBC contracting) and startups is strongly preferred</strong></li>
</ul>
</li>
</ul><div class='"content-conclusion"'><p><strong>What's In It For You</strong></p>
<ul style="">
<li style="">Meaningful work each day, we care deeply about our mission, our patients, and each-other. </li>
<li style=""><strong><span style='"font-weight:'>Work from anywhere in the US that best fits your lifestyle, or, for those that enjoy an in-person environment, join teammates in our hybrid hub Nashville. </span></strong></li>
<li style=""><span style='"font-weight:'>Rich PTO and holiday plans to ensure you have time away to rest and recharge.</span></li>
<li style=""><strong><span style='"font-weight:'>We offer paid parental leave, support a healthy work-life integration, and offer work flexibility – we love to talk about our pets and families.</span></strong></li>
<li style=""><span style='"font-weight:'>Medical, dental, vision, life, disability, wellness resources, and an employer HSA contribution all from Day 1. </span></li>
<li style=""><span style='"font-weight:'>We are committed to fair and equitable pay for all employees, and we help you achieve your future goals with an employer match 401k.</span></li>
<li style=""><span style='"font-weight:'>An inclusive workplace where you can lean on your teammates, offer candid feedback, and bring your true self to work each day. </span></li>
</ul>
<p>TailorCare seeks to recruit and retain staff from diverse backgrounds and encourages qualified candidates to apply. TailorCare is an equal opportunity employer and does not discriminate on the basis of age, sex, gender identity/expression, sexual orientation, color, race, creed, national origin, ancestry, religion, marital status, political belief, physical or mental disability, pregnancy, military, or veteran status.</p></div><img src="https://remotive.com/job/track/1949384/blank.gif?source=public_api" alt=""/>

Director, Data Science & ML

<b>Company at a Glance</b><a href="https://himalayas.app/companies/openx">OpenX</a> is focused on unleashing the full economic potential of digital media companies. We do this by making digital advertising markets and technologies that are designed to deliver optimal value to publishers and advertisers on every ad served across all screens.<br>At <a href="https://himalayas.app/companies/openx">OpenX</a>, we have built a team that is uniquely experienced in designing and operating high-scale ad marketplaces, and we are constantly on the lookout for thoughtful, creative executors who are as fascinated as we are about finding new ways to apply a blend of market design, technical innovation, operational excellence, and empathetic partner service to the frontiers of digital advertising.<br><a href="https://himalayas.app/companies/openx">OpenX</a> is looking for a Data Science Director with experience in the ad tech programmatic ecosystem to lead the Machine Learning team within the Engineering organization. You will partner with a talented cross-functional team of scientists, engineers, product managers and business stakeholders to develop Machine Learning products to power <a href="https://himalayas.app/companies/openx">OpenX</a>’s ad marketplaces business.<br><a rel="noopener noreferrer" href="http://business.The">The</a> role, while remote, is schedule-centered in the US Eastern time zone.<h3>Key Responsibilities</h3><ul><li>Develop the ML vision and strategy, and partner with the Product team to develop and execute the ML team’s roadmap</li><li>Guide the development of ML products from inception to maturity under an aggressive timeline</li><li>Lead multiple teams of data scientists, providing guidance, mentorship, and support to foster their professional growth.</li><li>Set clear goals and expectations for your teams, and ensure timely delivery of high-quality work.</li><li>Innovate on ML models and algorithms, ensuring scalable and validated solutions.</li><li>Foster a collaborative and inclusive team culture that encourages innovation, knowledge sharing, and continuous learning</li></ul><h3>Required Skills &amp; Qualifications</h3><ul><li>Ph.D. in Computer Science, Physics, Mathematics, Operations Research or related technical field with 10+ years of relevant experience</li><li>Experience in the ad tech programmatic ecosystem with an emphasis on buyer-facing products</li><li>Strong track record of developing ML products from inception to maturity with proven business impact under an aggressive timeline</li><li>Extensive experience with ML techniques, particularly in the context of DNNs that integrate with high throughput, low-latency systems</li><li>Strong communication and presentation skills — proficient in analysis and summarization of the key points of a data set or experiment result</li><li>Fluency in SQL and programming experience in Python</li></ul><h3>Preferred Skills &amp; Qualifications</h3><ul><li>Experience working with a cloud platform like GCP / AWS / Azure</li><li>Familiarity with other programming languages such as Java and Golang</li></ul><b><a href="https://himalayas.app/companies/openx">OpenX</a> VALUES</b>Our five company values form a solid bedrock serving to define us as a group and guide the company. Our values remind us that how we do things often matters as much as what we do.<br><b>WE ARE ONE</b>We are one team. There are no exceptions. We are a group of strong and diverse individuals unified by a shared mission. We embrace challenges and win together as a team. We respect and care about our colleagues and cultivate an inclusive culture<br><b>WE ARE CUSTOMER CENTRIC</b>We innovate on behalf of our customers. We understand, respect, and listen carefully to our customers. We build great products to solve our customers’ problems. We manage our customers’ expectations clearly and honestly. We are a trusted partner to all of our customers - we act with integrity at all times. We care.<br><b>OPENX IS OURS</b>We are all owners of <a href="https://himalayas.app/companies/openx">OpenX</a>We all have a voice to improve <a href="https://himalayas.app/companies/openx">OpenX</a>We stake our personal and professional reputations on the excellence of our workWe are not interested in just "doing our jobs"; we take ownership to drive results<br><b>WE ARE AN OPEN BOOK</b>We understand and respect what each of us does. We are eager to teach and share what we know with others, both internally and externally. We are eager to learn from others and we ask questions internally and externally. <br><b>WE EVOLVE FAST</b>We take responsible risks and own and learn from our mistakes. We recognize and repeat success. We actively seek out and provide constructive feedback. We adapt quickly and embrace change. We tackle growth and learning with real urgency. We are endlessly curious. <br><b><a href="https://himalayas.app/companies/openx">OpenX</a> is committed to equal employment opportunities. </b>It is a fundamental principle at <a href="https://himalayas.app/companies/openx">OpenX</a> not to discriminate against employees or applicants for employment on any legally-recognized basis including, but not limited to: age, race, creed, color, religion, national origin, sexual orientation, sex, disability, predisposing genetic characteristics, genetic information, military or veteran status, marital status, gender identity/transgender status, pregnancy, childbirth or related medical condition, and other protected characteristic as established by law.<br><b><a href="https://himalayas.app/companies/openx">OpenX</a> Applicant Privacy Policy</b>Applicants can review our Applicant Privacy Policy at any time by visiting the following link: <a rel="noopener noreferrer" href="https://www.openx.com/privacy-center/applicant-privacy-policy/">https://www.openx.com/privacy-center/applicant-privacy-policy/</a>.<br><b>Effective Date: April 18, 2024</b><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Director, Data Science

<h3>About the Company</h3><p>Welcome to <a rel="nofollow noreferrer noopener" href="https://mindrift.ai"></a><a href="https://himalayas.app/companies/mindrift">Mindrift</a> — a space where innovation meets opportunity. We’re a pioneering platform dedicated to advancing the field of artificial intelligence through collaborative online projects. We focus on creating data for Generative AI, offering a unique chance for freelancers to contribute to AI development from anywhere, at any time - without the need to be developers.</p><p>At <a rel="nofollow noreferrer noopener" href="https://mindrift.ai"></a><a href="https://himalayas.app/companies/mindrift">Mindrift</a>, we believe in the power of collective intelligence to ethically shape the future of AI. Our platform allows users to dive into a variety of tasks — ranging from creating training prompts for AI models to refining AI responses for better relevance.</p><h3>About the Role</h3><p>Generative AI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills.</p><p>In this role, you will develop complex question-answer pairs and create scoring criteria (rubrics) to evaluate and grade the quality of responses. Your work will involve:</p><ol><li>Generating prompts that challenge the AI and are likely to produce incorrect responses.</li><li>Defining comprehensive scoring criteria for evaluating the correctness of the AI's answers.</li><li>Correcting the AI's responses based on domain-specific knowledge.</li></ol><h3>Requirements</h3><ul><li>You have a <strong>Master’s degree</strong> in Applied Linguistics, Computational Linguistics, Computer Science, Tradumatics (Translation Technologies), Communication, Translation Studies, or related fields. </li><li><strong>Professional experience</strong> in those fields is an advantage.</li><li><strong>Your level of English is advanced (C1) or above</strong>.</li><li>You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.</li><li>Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.</li></ul><h3>Benefits</h3><ul><li>Take part in part-time, remote, freelance projects that respect your primary professional or academic commitments.</li><li>Try your hand at an AI project and enrich your portfolio with new experiences.</li><li>Make a tangible impact on the quality of AI.</li></ul><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Freelance Translation Expert - AI Tutor

<h3><strong>About Crunchbase</strong></h3><p>Crunchbase helps over 75 million people around the world connect with the companies and people that matter. Powered by best-in-class proprietary data, Crunchbase is democratizing access to opportunities so salespeople, entrepreneurs, investors, job seekers, and others can accelerate innovation for a better future. We’re proud to build intelligent products that shape how companies and people connect and enable them to communicate in a more meaningful way.</p><p>We are committed to a positive, diverse, and inclusive culture by hiring for potential, focused on the inclusion of people who have different ways of thinking, different viewpoints, different backgrounds, and different skill sets. We value a transparent and open culture that positively impacts our teams and our products.</p><p>Crunchbase has a remote-first approach, and is open to hiring in residents of these states: <br>California, Colorado, Illinois, Florida, Georgia, Massachusetts, Nevada, New Jersey, New York, North Carolina, Oregon, Pennsylvania, South Carolina, Texas, Virginia, and Washington</p><p>Our inclusive remote-first culture, generous PTO policies, competitive pay, and employee wellness benefits set us apart!</p><h3>Job Summary:</h3><p>At Crunchbase, our dataset is a living, breathing entity, expanding daily through the collective efforts of the public, our venture program, partners, and our dedicated internal team. The Data Management team at Crunchbase takes the lead in driving initiatives that not only ensure the accuracy but also accelerate the growth of our dynamic dataset.</p><p>If you're motivated by the prospect of solving complex problems using data and AI, then we have an exciting opportunity for you! We're seeking individuals with a passion for engaging in diverse projects that span across building tools to enable AI initiatives, optimization of AI models, research, data curation, analysis, and program management.</p><h3>Essential Duties/Responsibilities:</h3><ul><li>Compile and experiment with different prompts to test and optimize LLM outputs to achieve desired results</li><li>Collaborate with data scientists and engineers to create training data sets and fine-tune the AI model's behavior and responses</li><li>Define LLMs models' performance metrics and conduct regular evaluations to measure and improve model performance</li><li>Design, develop, and maintain tools and infrastructure to support and enable LLM initiatives, staying ahead of industry advancements and updating tooling as necessary to ensure cutting-edge capabilities and optimal performance</li><li>Keep abreast of industry best practices, stay informed on emerging trends, and ethical considerations in AI development</li><li>Work with external vendors to get high quality data labels</li><li>Review and fix and data quality issues within Crunchbase data</li><li>Review and audit outsource team’s work to ensure the accuracy of the data entered in Crunchbase</li></ul><h3>Required Skills/Abilities:</h3><ul><li>Excellent written and verbal communication skills</li><li>Ability to generate high-quality documentation</li><li>Ability to work independently and in a team environment</li><li>Strong analytical and problem-solving skills.</li></ul><h3>Education and Experience:</h3><ul><li>1+ years of industry experience in data labeling or other data management fields</li><li>Familiarity or experience in LLMs such as GPT</li><li>Intermediate/Advanced SQL skills, Python skills</li><li>Experience with Google Sheets</li><li>You hold a high bar on code quality and enjoy building systems and tools that can be used by others.</li><li>You are excited and interested in production systems and enabling LLMs and other MLs models.</li><li>Excellent written and verbal communication skills, problem-solving skills, and analytical skills</li><li>Ability to generate high-quality documentation</li><li>Ability to work independently and in a team environment</li></ul><h3>Physical Requirements:</h3><ul><li>Prolonged periods of sitting at a desk and working on a computer.</li></ul>You may also be entitled to receive equity and benefits.Salary Range$100,000—$120,000 USD<h3>What Crunchbase Offers: </h3><ul><li>Competitive salary and equity</li><li>Remote first policy</li><li>Generous Reimbursement policy for learning and development activities</li><li>Monthly fitness / mental health stipend</li><li>14 weeks of fully-paid time off for new parents</li><li>Flexible Paid Time Off (PTO)</li><li>Volunteering Paid Time Off</li><li>Incredible medical, vision and dental benefits for employees and their families</li><li>401(k) and Roth plans, and free annual financial adviser check-in</li><li>Monthly internet stipend</li><li>Work from home allowance to purchase furniture for your work from home space</li><li>Matching charity contributions for our Townhall awards</li><li>A team of creative, transparent entrepreneurs driven to accomplish our mission</li></ul>At Crunchbase, we value team members who are passionate and enthusiastic about what we're building here. We believe there is no "perfect" candidate, and want to encourage applying even if all the requirements listed aren’t met. If you're passionate about Crunchbase and looking to learn and grow, then we look forward to reviewing your application! Crunchbase does not discriminate on the basis of race, creed, color, ethnicity, national origin, religion, sex, sexual orientation, gender expression, age, height, weight, veteran status, military obligations, or marital status. We will consider for employment qualified applicants with arrest and conviction records. Every day our team is honored to work with entrepreneurs and innovators from every corner of the globe, and we aim to build a team that reflects the diversity of our customers. Each individual at Crunchbase brings their own perspectives, work experiences, lifestyles, and cultures with them, and we believe that a more diverse team creates more innovative products, provides a better service to its customers, and helps us all grow and learn as individuals.<p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Data and AI Specialist

Freelance Applied Linguistics Expert - AI Tutor

<p><a href="https://himalayas.app/companies/xometry">Xometry</a> (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. <a href="https://himalayas.app/companies/xometry">Xometry</a>’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.</p><p><a href="https://himalayas.app/companies/xometry">Xometry</a> is looking for a <strong>Senior Machine Learning Engineer </strong>to join our growing organization.  The right person will help move our machine learning capabilities to the next level. You’ll be working in an organization where AI is the enabler and center of its core business strategy. You want to be part of a small, intensely skilled team, who feel total ownership of their work, and can’t imagine a day without learning &amp; coding.  You will play a crucial role in the <a href="https://himalayas.app/companies/xometry">Xometry</a> platform and everything you do will matter.</p><h3>What You’ll Do:</h3><ul><li>At <a href="https://himalayas.app/companies/xometry">Xometry</a>, you will play a crucial role in exploring new machine learning opportunities, researching and performing proof of concepts, and bringing new machine learning and AI solutions into <a href="https://himalayas.app/companies/xometry">Xometry</a>’s platform</li><li>Develop and implement machine learning models that improve <a href="https://himalayas.app/companies/xometry">Xometry</a>’s ability to predict cost, price, and sourcing options for our customers and suppliers.</li><li>You will be responsible for leading the evaluation of emerging technologies, identifying areas for improvement, and developing new features while ensuring the reliability and scalability of <a href="https://himalayas.app/companies/xometry">Xometry</a>’s platform</li><li>Lead the exploration of emerging AI and machine learning technologies and develop proof-of-concepts to assess their potential impact on <a href="https://himalayas.app/companies/xometry">Xometry</a>’s platform</li><li>Collaborate with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations</li><li>Monitor machine learning models and AI performance and troubleshoot issues as they arise</li><li>Contribute to the documentation and knowledge base to help other teams understand and use <a href="https://himalayas.app/companies/xometry">Xometry</a>’s AI effectively</li></ul><h3>What We’re Looking For:</h3><ul><li>Experience with state of the art ML modeling techniques and approaches like transformers, self supervised pre-training, generative modeling, LLMs, etc</li><li>Experience with large scale data processing (e.g., Hands-on experience training and applying models at scale using deep learning frameworks like PyTorch or Tensorflow)</li><li>Successful candidates in this role need to be able to bridge state of the art approaches to real world impact</li><li>A cloud-native software craftsperson with hands on experience with containers, container orchestration, and distributed systems</li><li>An engineer with a self-driven attitude who can own problems and deliver solutions</li><li>Strong software fundamentals with experience in design patterns, refactoring, OOP, and testing</li><li>A cloud practitioner who values the “shift-left” mentality by building systems with Infrastructure as Code, not console clicking</li><li>Data’s at the heart of our systems, we hope it's yours too. You’re comfortable working with SQL and/or NoSQL, understand database design, and data analysis</li><li>Experience building and consuming CI/CD pipelines</li><li>Someone who knows their way around the command line and has experience working with *nix systems</li><li>5+ years working experience in the engineering teams that build large-scale ML-driven user-facing products</li><li>3+ years experience leading cross-team engineering efforts</li><li>Strong execution skills in project management</li><li>Must be a US Citizen or Green Card holder (ITAR)</li></ul><p>Here at <a href="https://himalayas.app/companies/xometry">Xometry</a> we believe in diversity, equity, inclusion and belonging. We are committed to welcoming, respecting, and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all.</p><p><a href="https://himalayas.app/companies/xometry">Xometry</a> is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.</p><p>For US based roles: <a href="https://himalayas.app/companies/xometry">Xometry</a> participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.</p><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

<h3>Overview</h3><p>The ArcGIS platform is an expansive spatial data science platform, incorporating both specialized geospatial data science tools and cutting-edge open source components, helping our users develop workflows that power modern business and make the world a better place for future generations. Be part of the team that deepens this integration by expanding the scope of geospatial data exploration and data analysis pipelines empowering users to tackle complex problems and communicate those results.</p><p>Data science continues to evolve, and this senior role is intended for an engineer with existing data science experience who wants to make an impact by bridging the gap between research activity and a platform enabling a broad base of users to perform data science. This includes incorporating innovations in columnar databases and efficient analytic operations crossing the CPU / GPU boundary, understanding modern data science workflows in a spatial context, and integrating knowledge across scientific and software engineering domains. These efforts will provide building blocks of a system which meshes organizations' existing data science workflows with the depth and power of the ArcGIS platform system of record.</p><h3>Responsibilities</h3><ul><li>Spearhead the expansion of our python data science experience within ArcGIS</li><li>Design the integration of geospatial data exploration and data analysis pipelines with innovations in the broader data science ecosystem (such as the Arrow columnar database or GPU based analysis)</li><li>Represent a broad range of data science users who work at the intersection of spatial analysis and broader data science workflows</li><li>Help spatial data science workflows mesh well with other data science workflows to streamline our users' work and the reach of our existing tools and technology</li><li>Work with multiple teams to design, implement and deploy the technologies within the ArcGIS products</li></ul><h3>Requirements</h3><ul><li>5+ years of practical experience solving problems using a broad range of data science tools</li><li>Extensive experience with data frames, such as Pandas, Geopandas, R, or polars</li><li>Experience with Notebooks and their use in data science</li><li>Experience with practical data science languages such as Python, R, or Julia</li><li>Experience performing data extraction, transformation, and loading from multiple sources</li><li>Strong communication skills, including conveying complex topics to non-technical audiences</li><li>Bachelor's in computer science, geography, statistics, mathematics, physics or a similar field</li></ul><h3>Recommended Qualifications</h3><ul><li>Experience interacting with AWS, Azure, or other cloud service</li><li>Experience producing data visualizations using tools such as matplotlib, seaborn, or bokeh</li><li>Experience handling massive batch/streaming data using big data tools, such as Apache Spark</li><li>Experience working with modern data workflows, such as Streamlit or DuckDB</li><li>Experience building and optimizing supervised and unsupervised machine learning models including deep learning and various other modern data science techniques</li><li>Experience with lower-level development stacks such as C++, Rust, or CUDA</li><li>A fundamental understanding of mathematical and machine learning concepts such as calculus, back propagation, ReLU, Bayes’ theorem, Random Forests, time series analysis, and more</li><li>Experience with software development best practices (version control)</li><li>Experience with applied statistics concepts</li><li>Experience with spatial and GIS concepts</li><li>Master's in computer science, geography, statistics, mathematics, physics or a similar field</li></ul><h3>The Company</h3><p>At <a href="https://himalayas.app/companies/esri">Esri</a>, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on <a href="https://himalayas.app/companies/esri">Esri</a>’s Racial Equity and Social Justice initiatives, please visit our website <a href="https://www.esri.com/en-us/racial-equity/overview#engage-communities">here</a>.</p><p><strong>If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!</strong></p><p><a href="https://himalayas.app/companies/esri">Esri</a> is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email <a href="mailto:askcareers@esri.com">askcareers@esri.com</a> and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.</p><p><a href="https://www.esri.com/en-us/privacy/overview"></a><a href="https://himalayas.app/companies/esri">Esri</a> Privacy <a href="https://himalayas.app/companies/esri">Esri</a> takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.</p><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Sr. Python Data Science Software Engineer

Freelance Computational Linguistics Expert - AI Tutor

<p style="min-height:1.5em">We are looking for a Senior Machine Learning Engineer with 2-4 years of industry experience to join our growing team. In this role, you will develop and deploy cutting-edge machine learning models, including Large Language Models (LLMs) and foundational models, to solve business challenges. This position offers the opportunity to work closely with cross-functional teams, including product managers and software engineers, to build scalable AI solutions.</p><p style="min-height:1.5em">We seek someone with a strong technical background in Python and SQL, who can leverage cloud computing environments (such as AWS, Databricks, and Snowflake) to deploy and optimize models in production. Knowledge of the advertising industry is a bonus but not required. If you are a collaborative team player, passionate about machine learning innovation, and eager to create impact with advanced AI solutions, we’d love to hear from you.</p><p style="min-height:1.5em"><strong>Key Responsibilities</strong></p><ul style=""><li style=""><p style="min-height:1.5em">Design, develop, and deploy machine learning models, including LLMs and foundational models, to solve real-world problems.</p></li><li style=""><p style="min-height:1.5em">Collaborate closely with product teams to align machine learning solutions with business goals and user needs.</p></li><li style=""><p style="min-height:1.5em">Partner with engineering teams to integrate models into production pipelines and ensure scalability, performance, and reliability.</p></li><li style=""><p style="min-height:1.5em">Build and maintain data pipelines using Python, SQL, and cloud technologies to feed machine learning models efficiently.</p></li><li style=""><p style="min-height:1.5em">Fine-tune and optimize PyTorch-based models and work with standard LLM/foundational model libraries (e.g., Hugging Face, LangChain).</p></li><li style=""><p style="min-height:1.5em">Perform experiments to validate new approaches and monitor model performance in production environments.</p></li><li style=""><p style="min-height:1.5em">Use cloud platforms like AWS, Databricks, and Snowflake to manage resources, deploy models, and maintain model artifacts.</p></li><li style=""><p style="min-height:1.5em">Keep up-to-date with the latest advancements in machine learning, LLMs, and foundational models to continuously improve solutions.</p></li></ul><p style="min-height:1.5em"><strong>Qualifications</strong></p><ul style=""><li style=""><p style="min-height:1.5em">Bachelor’s Degree or Equivalent with 2-4 years of relevant experience. Master's degree preferred. </p></li><li style=""><p style="min-height:1.5em">Hands-on experience with LLMs, foundational models, and associated libraries (e.g., Hugging Face).</p></li><li style=""><p style="min-height:1.5em">Strong programming skills in Python and proficiency with SQL. Apache Spark experience preferred.</p></li><li style=""><p style="min-height:1.5em">Expertise in PyTorch and familiarity with other frameworks for building and deploying machine learning models.</p></li><li style=""><p style="min-height:1.5em">Experience working with cloud computing environments, such as AWS, Databricks, and Snowflake.</p></li><li style=""><p style="min-height:1.5em">Knowledge of ML deployment best practices and versioning tools.</p></li><li style=""><p style="min-height:1.5em">Strong problem-solving skills with a passion for continuous learning and staying ahead of new technologies.</p></li><li style=""><p style="min-height:1.5em">Excellent collaboration and interpersonal skills; ability to work effectively in a team-oriented, cross-functional environment.</p></li><li style=""><p style="min-height:1.5em">(Optional) Experience or familiarity with the advertising industry or related technologies is a plus.</p></li></ul><p style="min-height:1.5em"><strong>Why Join Us</strong></p><ul style=""><li style=""><p style="min-height:1.5em"><strong>Innovative Environment:</strong> Work with cutting-edge technologies in a fast-paced, innovative environment.</p></li><li style=""><p style="min-height:1.5em"><strong>Career Growth:</strong> Opportunities for professional development and career advancement.</p></li><li style=""><p style="min-height:1.5em"><strong>Collaborative Culture:</strong> Join a diverse and inclusive team that values collaboration and creativity.</p></li><li style=""><p style="min-height:1.5em"><strong>Competitive Compensation:</strong> Attractive salary and competitive benefits package.</p></li><li style=""><p style="min-height:1.5em"><strong>Inclusive Workplace:</strong> be part of a culture of inclusiveness that celebrates diversity.</p></li></ul><p style="min-height:1.5em"></p><img src="https://remotive.com/job/track/1949861/blank.gif?source=public_api" alt=""/>

<div class="h3">About the Team</div><p style="min-height:1.5em">The AI Platform team at Standard Bots is on a mission to create the default platform for applied AI robotics, where companies can efficiently develop, train, and deploy intelligent robots without reinventing the wheel. We’re building a robust ecosystem of tools, APIs, and an intuitive UI that empower businesses to harness the power of AI-driven robotics without needing specialized expertise. Our approach enables users to program robots through simple, hands-on demonstrations, drastically lowering the barrier to entry.</p><p style="min-height:1.5em">Joining this team means working with experts across software, hardware, and AI, where every product decision pushes us closer to redefining the future of robotics and automation.</p><p style="min-height:1.5em"></p><div class="h3">About the Role</div><p style="min-height:1.5em">We’re seeking a front-end engineer excited to help build the platform that will redefine what's possible in applied AI robotics. You’ll lead the development of interfaces that make advanced AI accessible and intuitive, helping customers teach robots complex tasks effortlessly through visual demonstrations. This role is ideal for someone passionate about blending product design with cutting-edge technology and who is eager to build the first version of a platform that merges sleek UI with the latest advancements in AI.💡</p><p style="min-height:1.5em">Experience with AI or robotics isn’t required; we’re looking for experienced engineers ready to make a tangible impact in the AI robotics revolution. If you're excited to be part of the team building the future of intelligent automation, we’d love to hear from you.</p><p style="min-height:1.5em"><em>💡 We do not require a background in robotics</em></p><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>In this role, you will:</strong></p><ul style=""><li style=""><p style="min-height:1.5em">Prototype user experiences that push the boundaries of AI and robotics, making technical workflows intuitive and engaging.</p></li><li style=""><p style="min-height:1.5em">Build and iterate rapidly, turning complex ideas into user-friendly products.</p></li><li style=""><p style="min-height:1.5em">Develop interfaces that allow users to train robots on diverse tasks, effectively democratizing access to robotic automation.</p></li><li style=""><p style="min-height:1.5em">Collaborate with cross-functional teams to integrate end-to-end capabilities for data collection, annotation, and model deployment.</p></li><li style=""><p style="min-height:1.5em"></p></li></ul><p style="min-height:1.5em"><strong>You might thrive in this role if you:</strong></p><ul style=""><li style=""><p style="min-height:1.5em">Have 4+ years of engineering experience, especially in tech and product-driven environments.</p></li><li style=""><p style="min-height:1.5em">Are highly skilled in TypeScript, React, and have a passion for creating beautiful, functional interfaces.</p></li><li style=""><p style="min-height:1.5em">Have a strong product sense, with a focus on user experience and design; familiarity with tools like Figma is a plus.</p></li><li style=""><p style="min-height:1.5em">Are excited to be part of the 0 → 1 phase, shaping a transformative platform from the ground up.</p></li><li style=""><p style="min-height:1.5em">Believe in the potential of AI to reshape industries, even if you’re new to the field.</p></li></ul><p style="min-height:1.5em"></p><div class="h3">Tech Stack</div><ul style=""><li style=""><p style="min-height:1.5em"><strong>Front-end:</strong> React, TypeScript</p></li><li style=""><p style="min-height:1.5em"><strong>Back-end:</strong> Node.js, Python, Postgres</p></li><li style=""><p style="min-height:1.5em"><strong>Infrastructure:</strong> Kubernetes, Docker, Github Actions, Postgres</p><p style="min-height:1.5em"></p></li></ul><div class="h3">About Standard Bots</div><p style="min-height:1.5em">Standard Bots is transforming robotics by building an accessible AI-powered platform for companies of all sizes. Designed and assembled in the U.S., our robots are programmed through simple demonstrations, rather than complex coding. By streamlining every step of the AI workflow—from data collection to model deployment—we’re empowering businesses to achieve new efficiencies and tackle diverse challenges across sectors. Our goal is to make intelligent robotics as ubiquitous and accessible as smartphones, fundamentally changing the role of automation in society.</p><img src="https://remotive.com/job/track/1949560/blank.gif?source=public_api" alt=""/>

Senior Front-End Engineer, AI Robotics Platform

<p>We currently have a career opportunity for a <strong>Data Architect </strong>to join our Data &amp; Analytics Team.  This position can be located anywhere in the US and work <strong>remotely </strong>with light travel.</p><p>As a Data Architect, you will provide best-fit architectural solutions for one or more projects; you will assist in defining the scope and sizing of work; and anchor Proof of Concept developments. You will provide solution architecture for the business problem, platform integration with third-party services, and designing &amp; developing complex features for clients' business needs.</p><p>The Data Architect will provide technology direction, ensure project implementation compliance, and utilize technology research to innovate, integrate, and manage technology solutions.  You will collaborate with some of the best talent in the industry to create and implement innovative high-quality solutions, and participate in Sales and various pursuits focused on our clients' business needs.</p><h3>Job Overview:</h3><p>The role of this Data Architect is for individuals passionate about identifying and delivering the right Business solution for each client using data technologies, Gen AI, AI/ML, etc.  &amp; to understand our customer's needs, processes, and pain points to determine the success factors and evaluation criteria that will be needed to measure the effectiveness.</p><p>The Data Architect will be involved in the strategic planning of an engagement or helping the client make decisions about their future vision. Once the project has begun, will be responsible for the execution of our established methodology, working with the customer and/or the team's data engineer to identify data ingestion and transformation needs, exploration of the data and reporting findings, modeling, and evaluation of training iterations. It is a key part of the role to be able to explain in non-technical terms the chosen modeling approach and findings from data exploration or training results.</p><ul><li>Lead delivery teams as a technical leader - SME</li><li>Work with multiple business units within <a href="https://himalayas.app/companies/perficient">Perficient</a></li><li>Lead complex client engagement delivery, open with ambiguity and little direction.</li><li>Plan and lead workshops with client teams to understand the current landscape, requirements, and constraints and map to the latest technology products and platforms to come up with future architecture.</li><li>Design and lead the development of data assets as part of the delivery.</li><li>Assist senior leadership in creating phased implementation roadmaps from scope and resource perspectives.</li><li>Articulate complex architectures for a variety of client teams, both technical and non-technical, and build<br>consensus.</li><li>Learn new technologies and platforms quickly and keep experience relevant to clients’ needs.</li><li>Lead teams based on global locations in multiple time zones.</li><li>Develop thought leadership material to establish <a href="https://himalayas.app/companies/perficient">Perficient</a> as an authority on enterprise architecture topics<br>at industry forums, conferences, etc.</li><li>Take ownership of solutions and teams.</li></ul><ul><li>Strong experience data architectures in multiple domains</li><li>Strong experience with multiple industry-specific tools and technologies</li><li>Expertise in at least two hyperscaler technologies – AWS, Azure, GCP</li><li>Expertise in cloud-based data warehouse and/or Lakehouse technology platforms such as Snowflake, Databricks, etc.</li><li>Strong experience in the latest data trends and associated technologies including, but not limited to, Data Quality, Data Catalog, Data Lineage, Master Data Management</li><li>Experience in multiple modern programming languages</li><li>Experience with virtualization platforms</li><li>Knowledge of Enterprise Architecture frameworks and methodologies</li><li>Expertise in building solutions from scratch as well as modernizing legacy architectures</li><li>Ability to communicate complex solutions to technical and non-technical users at various levels – typically department directors to C-Suite</li><li>Experience with both on-premises and cloud technologies and platforms</li><li>Expertise in architecting solutions with multiple disciplines – performance, scalability, security</li><li>Crisp and clear communication – both verbal and written</li><li>Ability to create strong presentations using various tools</li><li>Knowledge of up-and-coming AI tools and technologies and industry trends</li></ul><p>The salary range for this position takes into consideration a variety of factors, including but not limited to skill sets, level of experience, applicable office location, training, licensure and certifications, and other business and organizational needs. The new hire salary range displays the minimum and maximum salary targets for this position across all US locations, and the range has not been adjusted for any specific state differentials. It is not typical for a candidate to be hired at or near the top of the range for their role, and compensation decisions are dependent on the unique facts and circumstances regarding each candidate. A reasonable estimate of the current salary range for this position is $92,118 to $202,730. Please note that the salary range posted reflects the base salary only and does not include benefits or any potential equity or variable bonus programs. Information regarding the benefits available for this position are in our <a href="https://www.perficient.com/-/media/files/benefits-overview-career-site.pdf"><u>benefits overview</u></a>. </p><p>Applications will be accepted until the position is filled or the posting is removed.</p><h3>More About <a href="https://himalayas.app/companies/perficient">Perficient</a></h3><p><a href="https://himalayas.app/companies/perficient">Perficient</a> is the leading digital transformation consulting firm serving Global 2000 and enterprise customers throughout North America. With unparalleled information technology, management consulting and creative capabilities, <a href="https://himalayas.app/companies/perficient">Perficient</a> and its <a href="https://himalayas.app/companies/perficient">Perficient</a> Digital agency deliver vision, execution and value with outstanding digital experience, business optimization and industry solutions.</p><p>Our work enables clients to improve productivity and competitiveness; grow and strengthen relationships with customers, suppliers and partners; and reduce costs.  <a href="https://himalayas.app/companies/perficient">Perficient</a>'s professionals serve clients from a network of offices across North America and offshore locations in India and China. Traded on the Nasdaq Global Select Market, <a href="https://himalayas.app/companies/perficient">Perficient</a> is a member of the Russell 2000 index and the S&amp;P SmallCap 600 index.</p><p><a href="https://himalayas.app/companies/perficient">Perficient</a> is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national, origin, disability status, protected veteran status, or any other characteristic protected by law.</p><p><strong>Disclaimer:</strong>  The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification.  Management retains the discretion to add or change the duties of the position at any time. </p><a href="https://himalayas.app/companies/perficient">Perficient</a> is always looking for the best and brightest talent and we need you! We’re a quickly growing, global digital consulting leader, and we’re transforming the world’s largest enterprises and biggest brands. You’ll work with the latest technologies, expand your skills, experience work-life balance, and become a part of our global community of talented, diverse, and knowledgeable colleagues.<p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>