AI Researcher – Summer Intern
Snorkel AI
internship
Posted on:
Location Type: Hybrid
Location: Redwood City • California • United States
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Job Level
About the role
- Contribute to internal research and academic collaborations
- Develop and evaluate new methods for data development for foundation models and enterprise AI systems
- Research supervision and evaluation techniques such as rubrics and verifiable rewards
- Design experiments and run rigorous empirical studies
- Build lightweight research prototypes and tooling in Python
- Collaborate with academic partners and internal research teams
Requirements
- 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.
- Prior work on evaluation, data curation, synthetic data, weak supervision, NLP, or multimodal ML (nice to have).
- Experience collaborating with academic labs or participating in research programs (nice to have).
Benefits
- Competitive compensation
- Mentorship and ownership on projects
- Work with a research organization advancing data-centric AI
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningartificial intelligencedata developmentevaluation techniquesexperimental designPythonPyTorchNumPydata curationnatural language processing
Soft skills
research abilityclear communicationexperimentation habitscollaboration
Certifications
PhD in ML/AI/CS