Snorkel AI provides a programmatic data-labeling and evaluation platform that converts unstructured data into expert-curated training and benchmark datasets via SDKs, no-code templates, and subject-matter expert workflows.
<div class="content-intro"><p><strong>About Snorkel</strong></p> <p>At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.</p> <p>We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!</p></div><div class="section page-centered"> <div class="section page-centered"> <p>As a Research Scientist at Snorkel AI, you will bridge the gap between cutting-edge research and real-world AI systems. This is a hands-on role where you will prototype, build, and deploy innovative AI solutions—translating research breakthroughs into scalable, practical applications that solve real-world problems.</p> <p>Snorkel AI operates in a fast-paced, high-impact environment, where we move quickly to push the boundaries of what’s possible. We’re looking for someone who thrives on rapid iteration, solving open-ended challenges, and driving innovation from research into production.</p> <p><em>Location: Redwood City or San Francisco <strong>OR REMOTE</strong></em></p> <h3><strong>Main Responsibilities</strong></h3> <ul> <li>Design, implement, and validate novel AI techniques for data development<strong> </strong>such as synthetic data generation, utilizing techniques such as LLM as a Judge</li> <li>Prototype and build end-to-end workflows, integrating research ideas into scalable systems.</li> <li>Write high-quality, maintainable code, ensuring robust implementation of research-driven innovations.</li> <li>Move fast and adapt—iterating on solutions in response to new challenges, customer needs, and emerging research.</li> <li>Work closely with real-world design partners, testing solutions in applied settings with measurable impact.</li> <li>Collaborate with research scientists, engineers, and industry partners to push forward Snorkel AI’s broader research initiatives and rapidly productionize prototypes.</li> </ul> <h3><strong>Preferred Qualifications</strong></h3> <ul> <li>Strong expertise in AI, NLP, multi-modal models, LLMs, and generative AI, with an emphasis on applied research and system-building.</li> <li>Experience in developing, experimenting, and deploying AI models at scale.</li> <li>Proficiency in Python and machine learning frameworks (NumPy, Scikit-learn, Pandas, PyTorch, TensorFlow, etc.).</li> <li>Experience with software engineering best practices (e.g., clean coding, modular design, version control).</li> <li>Familiarity with ML infrastructure, cloud platforms (AWS, Google Cloud), and accelerators (GPUs, TPUs).</li> <li>Ability to work in a fast-moving, iterative environment, comfortable with ambiguity and open-ended challenges.</li> <li>A bias for action—willing to roll up your sleeves, experiment, and move quickly to solve problems.</li> </ul> <p>This role is ideal for candidates who love both research and building real AI systems in a dynamic, high-impact setting. A Ph.D. in machine learning or a related field with a strong publication record is preferred, but we also welcome applications from those with equivalent expertise gained through industry experience, research labs, or other career paths.</p> </div> <div class="section page-centered"> <p> </p> </div> </div><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.</p></div><div class="title">Salary range(s) for this role</div><div class="pay-range"><span>$200,000</span><span class="divider">—</span><span>$350,000 USD</span></div></div></div><div class="content-conclusion"><p><strong>Be Your Best at Snorkel</strong></p> <p>Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.</p> <p><em>Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.</em></p> <p><em>We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.</em></p></div>