Snorkel AI

1 month ago

Research Scientist - Frontier Benchmarks

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

We are hiring a Research Scientist to design frontier benchmarks and datasets, collaborate across research, data operations, product, and strategy, and serve as a technical partner for customers. The role combines research, strategy, and GTM elements, with opportunities to publish and influence Snorkel AI’s data-centric AI approach.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design state-of-the-art datasets that drive frontier model training and evaluation based on current model performance and academic partnerships.
•Translate benchmark insights into clear, compelling narratives that articulate the ROI of expert-curated data for customer-facing presentations, technical reports, and go-to-market materials.
•Work cross-functionally with data operations, product, engineering, and strategy to surface research findings that inform the company roadmap.
•Stay at the frontier of LLM evaluation research 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.

Pay and Benefits

Salary: USD 200,000 - 325,000 annually

Key Requirements

•PhD in machine learning, NLP, or a related field preferred; equivalent industry or research lab experience considered.
•Strong research background in AI/ML evaluation, NLP, or related fields, with a track record of rigorous experimental design — especially around measuring the impact of training and evaluation data on model behavior.
•Exceptional communication skills — able to present complex technical findings clearly to both technical and non-technical audiences.
•Comfort operating in a fast-moving, cross-functional environment with ambiguous problem spaces.
•Genuine interest in GTM strategy, startup dynamics, and the commercial side of AI data services.

Experience:AIMLNLP

Education:PhD / Doctorate

Skills:CommunicationPresentationCollaborationProblem-solving

Languages:English

Tech Stack:NLPMLLLM

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

Website LinkedIn

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Snorkel AI

1 month ago

Research Scientist - Frontier Benchmarks

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design state-of-the-art datasets that drive frontier model training and evaluation based on current model performance and academic partnerships.
•Translate benchmark insights into clear, compelling narratives that articulate the ROI of expert-curated data for customer-facing presentations, technical reports, and go-to-market materials.
•Work cross-functionally with data operations, product, engineering, and strategy to surface research findings that inform the company roadmap.
•Stay at the frontier of LLM evaluation research 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.

Pay and Benefits

Salary: USD 200,000 - 325,000 annually

Key Requirements

•PhD in machine learning, NLP, or a related field preferred; equivalent industry or research lab experience considered.
•Strong research background in AI/ML evaluation, NLP, or related fields, with a track record of rigorous experimental design — especially around measuring the impact of training and evaluation data on model behavior.
•Exceptional communication skills — able to present complex technical findings clearly to both technical and non-technical audiences.
•Comfort operating in a fast-moving, cross-functional environment with ambiguous problem spaces.
•Genuine interest in GTM strategy, startup dynamics, and the commercial side of AI data services.

Experience:AIMLNLP

Education:PhD / Doctorate

Skills:CommunicationPresentationCollaborationProblem-solving

Languages:English

Tech Stack:NLPMLLLM

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

Website LinkedIn