Research Scientist - Human-AI Systems

Snorkel AI
San Francisco, New York
Workplace: HybridFull timeUSD 200,000 - 375,000 annuallyFunction: Data Science & Machine LearningEducation: phdSkills: ["Experimental design","Hypothesis definition","Collaboration","Knowledge translation","Rapid iteration","Handling ambiguous research questions"]

Advance frontier data and environment creation for AI agents by designing, implementing, and optimizing reusable pipelines that combine real-world data, automated generation, and human expert input. Build and run experiments to validate approaches, measure impact on data quality, pipeline efficiency, and model performance, and translate findings into production workflows with engineering and domain experts. Represent research externally through publications, talks, and customer engagements.

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Snorkel AI
Snorkel AI
1 day ago

Research Scientist - Human-AI Systems

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Last checked: 20 hours agoStatus: Live

Job Summary

Advance frontier data and environment creation for AI agents by designing, implementing, and optimizing reusable pipelines that combine real-world data, automated generation, and human expert input. Build and run experiments to validate approaches, measure impact on data quality, pipeline efficiency, and model performance, and translate findings into production workflows with engineering and domain experts. Represent research externally through publications, talks, and customer engagements.
Location: San Francisco, New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, implement, and optimize reusable pipelines that combine AI capabilities with expert judgment to accelerate data and agentic environment creation.
  • •Design and run experiments to validate proof-of-concept approaches and measure impact on data quality, pipeline efficiency, and model performance.
  • •Partner with engineering, data operations, domain experts, and customers to turn research prototypes into reliable production workflows.
  • •Work with domain experts to design and test workflows that help them author, review, and refine data and environments.
  • •Represent Snorkel’s research externally through publications, blog posts, conference talks, and customer engagements.

Pay and Benefits

Salary: USD 200,000 - 375,000 annually

Key Requirements

  • •Strong research background in AI, machine learning, NLP, LLMs, or related fields, including 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.
  • •Ph.D. in machine learning, NLP, or related field preferred (equivalent industry/research lab experience considered).
Experience:AIMachine learningNLPLLMsSynthetic dataHuman-in-the-loopReinforcement learningAgentic environments
Education:PhD / Doctorate in machine learning, NLP, or a related field
Skills:Experimental designHypothesis definitionCollaborationKnowledge translationRapid iterationHandling ambiguous research questions
Tech Stack:AIMachine learningNLPLLMsSynthetic data generationHuman in the loopReinforcement learningAgent environmentsModel evaluationVersion controlModular designClean codingAblations

Company Brief

Snorkel AI
Develops a programmatic data labeling platform and tools to accelerate machine learning by enabling teams to generate, manage, and maintain training datasets through weak supervision and automations.
Industry: Data Infrastructure
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Funding: Series C
Headquarters: Palo Alto, United States
Founded: 2019
WebsiteLinkedIn