Research Scientist – Human-AI Systems

🔥 9 hours ago

🏄 California, New York – Remote

🏄 California – Remote 🗽 New York – Remote

💵 $200k - $375k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧬 Research Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Snorkel AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Snorkel AI is an innovative platform that specializes in providing expert-level training and evaluation data tailored for machine learning models. Their service, known as Expert Data-as-a-Service, enables organizations to create high-quality datasets for AI applications, significantly accelerating model delivery and enhancing accuracy. Founded from research at Stanford, Snorkel partners with leading AI companies to push the boundaries of AI capabilities across various sectors, including finance and healthcare.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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