Research Scientist - Human-AI Systems
Core
Design and optimize pipelines combining AI capabilities with expert judgment to create high-quality data and environments for frontier AI agents.
Role type
Senior Research Scientist (Human-AI Systems)
Builds
Reusable data pipelines, automated generation workflows, and agentic environments
Domain
Frontier AI, Data-centric AI, Human-in-the-loop systems
Deliverable
production ML models
Required skills
Experimental design, AI/ML/NLP/LLM research, Synthetic data generation, Human-in-the-loop workflows, Reinforcement learning, Agent environments, Model evaluation, Software engineering best practices
Preferred skills
Ph.D. in ML/NLP, Experience building environments for AI agents, Rapid iteration in ambiguous research contexts
Technologies
LLMs, Reinforcement learning frameworks, Version control systems
Responsibilities
Design and run rigorous experiments to validate proof-of-concept approaches and measure impact on data quality and model performance. Partner with engineering and domain experts to turn research prototypes into reliable production workflows. Work with domain experts to design and test workflows for authoring and refining data and environments. Represent Snorkel externally through publications, blog posts, and conference talks.
Seniority
Senior, hands-on IC with research leadership
