Research Scientist (Human-AI Systems)

• We’re looking for a Research Scientist to advance how high-quality data and environments for AI agents are created. You’ll build and optimize pipelines that combine real-world data, automated generation, and human expert input
• Working with domain experts, academic partners, customers, and our product and engineering teams, you’ll scale these pipelines to target frontier model performance gaps and expand data and environment diversity
• Your work will amplify human knowledge and judgement, enabling experts to create and refine data and agentic environments that strengthens Snorkel’s position as the frontier data lab
• Design, implement, and optimize reusable pipelines that combine AI capabilities with expert judgment to accelerate data and agentic environment creation
• Design and run rigorous experiments to validate proof-of-concept approaches, measure their impact on data quality, pipeline efficiency, and model performance, and communicate findings
• Partner with engineering, data operation, domain experts, and customers to turn research prototypes into reliable production workflows
• Work directly with domain experts to design and test workflows that help them author, review, and refine data and environments
• Work cross-functionally with data operations, product, and engineering to surface research findings that inform the company roadmap
• Stay at the frontier of research in data and agentic environment creation and bring best practices into Snorkel’s workflows
• Represent Snorkel’s research externally through publications, blog posts, conference talks, and customer engagements that advance the conversation around data-centric AI

Benefits

• Health: Snorkelers and their dependents are covered by comprehensive medical, dental, and vision plans.
• Wellness: All Snorkelers get a yearly wellness stipend to use on anything related to health and well-being.
• PTO and rest days: We provide unlimited personal time off so you can find your work-life balance. Plus, two company-wide rest days per quarter in addition to company holidays.
• One global team: From our headquarters in Redwood City, CA, to regional offices in San Francisco and New York, we work together as one global team.
• Events: Get to know your fellow Snorkelers outside of work! We host regular events and learning opportunities for our teams across our offices and virtually to connect, have fun, and grow.
• Family leave: Snorkel offers generous parental leave for both birthing and non-birthing parents based on eligibility.- This role is ideal for someone who wants to advance frontier AI through data and environment creation and enjoys turning research into reusable, scalable systems
• Ph.D. in machine learning, NLP, or a related field preferred; equivalent industry or research lab experience considered
• Experience with one or more of synthetic data generation, human in the loop workflows, reinforcement learning, agent environments, or model evaluation
• Experience building environments for AI agents in automated research, computer use, coding, or professional domain workflows
• Experience with software engineering best practices (e.g., clean coding, modular design, version control)
• Ability to collaborate with domain experts and translate their knowledge into concrete tasks, evaluation criteria, and repeatable workflows
• Comfort with rapid iteration, ambiguous research questions, and moving ideas from experimentation into production
• Strong research background in AI, machine learning, NLP, LLMs, or related fields, with experience developing and evaluating new methods
• Strong experimental design skills, including defining hypotheses and conducting ablations