Research Scientist – Human-AI Systems

. Design, implement, and optimize reusable pipelines combining AI capabilities with expert judgment for data and agentic environment creation .

Posted 9/25/2026full-timeRemote • United StatesMid-LevelSenior💰 $200,000 - $375,000 per yearWebsite

Key responsibilities & impact

Design, implement, and optimize reusable pipelines combining AI capabilities with expert judgment for data and agentic environment creation
Design and run experiments to validate proof-of-concept approaches and measure effects on data quality, pipeline efficiency, and model performance
Communicate research findings
Partner with engineering, data operations, domain experts, and customers to turn research prototypes into reliable production workflows
Design and test workflows with domain experts for authoring, reviewing, and refining data and environments
Work cross-functionally with data operations, product, and engineering to inform the company roadmap
Stay current with research in data and agentic environment creation and apply best practices
Represent Snorkel's research through publications, blog posts, conference talks, and customer engagements

What you’ll need

Strong research background in AI, machine learning, NLP, LLMs, or related fields, with experience developing and evaluating new methods
Experience building environments for AI agents in automated research, computer use, coding, or professional domain workflows
Experience with synthetic data generation, human-in-the-loop workflows, reinforcement learning, agent environments, or model evaluation
Strong experimental design skills, including defining hypotheses and conducting ablations
Experience with software engineering best practices, including clean coding, modular design, and 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
Ph.D. in machine learning, NLP, or a related field preferred; equivalent industry or research lab experience considered

Comp & perks

Meaningful opportunities to shape priorities and initiatives
Opportunity to influence key strategic decisions and directly impact company success
Support for deepening technical expertise
Leadership opportunities
Opportunities to learn new skills across multiple functions
Career growth, learning, and shared success
Reasonable accommodation for individuals with disabilities
Equal employment opportunities and benefits and privileges of employment