About Snorkel
At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.
We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 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!
About the Internship
As a Research Intern at Snorkel AI, you’ll contribute to internal research and academic collaborations—helping explore and validate new ideas that may shape future publications, open-source artifacts, and long-term product directions. This is a research-first role, designed for interns who want to do deep technical work with real-world relevance.
You’ll work closely with Snorkel researchers on open-ended projects and produce clear research outputs (experiments, prototypes, internal writeups, and potentially publications depending on project fit and timing).
What You’ll Do
- Develop and evaluate new methods for data development for foundation models and enterprise AI systems (e.g., dataset construction, augmentation, synthetic data, and evaluation).
- Research supervision and evaluation techniques such as rubrics and verifiable rewards.
- Design experiments and run rigorous empirical studies (ablations, benchmarks, error analysis).
- Build lightweight research prototypes and tooling in Python to support internal studies.
- Collaborate with academic partners and internal research teams—reading papers, proposing hypotheses, and iterating quickly.
Example Project Areas
Projects vary by mentor and collaboration needs, but may include:
- Synthetic data generation + filtering for specialized tasks
- Evaluation datasets and benchmarks for LLM / RAG / agent behavior
- Data-centric methods for improving reliability, calibration, and failure-mode coverage
- Evaluating HITL data annotation processes, gaps, and improvements
What We’re Looking For
- Current student in a PhD in ML/AI/CS.
- Strong ML fundamentals and demonstrated research ability (papers, preprints, or substantial research artifacts).
- Excellent Python skills and experience with modern ML tooling (PyTorch, NumPy, etc.).
- Ability to operate in ambiguous, research-driven problem spaces with strong experimentation habits.
- Clear communication: can write concise technical notes and present findings.
Nice to have
- Prior work on evaluation, data curation, synthetic data, weak supervision, NLP, or multimodal ML.
- Experience collaborating with academic labs or participating in research programs.
Internship Details
- Duration: Summer (flexible start/end)
- Location: Hybrid (Redwood City/SF) or Remote (US)
- Compensation: Competitive, commensurate with experience
Why Snorkel Research
- Work with a research org advancing data-centric AI and foundation-model development, in close partnership with labs and enterprises.
- Join a company with deep research roots and a substantial body of peer-reviewed work in this space.
- Get mentorship and ownership on projects that can influence long-term research direction.
Be Your Best at Snorkel
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.
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.
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.
