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Longitude Labs - Member of the Technical Staff

deCircle

Recruitee
Location
New York, United States; San Francisco, United States, United States
Type
Not specified
Salary
Salary not specified
Posted
12 Oct 2026
Longitude Labs: stealth data infrastructure for leading AI labs (30 people, $30M raised; founders from a top frontier lab and an AI-infra decacorn). One of the first dedicated research hires. Comp: $250K-$350K base (can go higher for exceptional research credentials) + competitive equity. Location: In-office 5 days (flexible to 4), NYC or SF. Visa: Visa transfers and sponsorship available. Responsibilities Design and own benchmarks, evals and dataset taxonomies setting the standard for AI data quality Independent research and publishing to establish thought leadership in AI benchmarks Identify where frontier models fail and build datasets to close gaps Partner with domain experts and deployment leads (life sciences, finance) on what high-quality data looks like Drive the research agenda with autonomy Tech stack: Python, PyTorch, LLMs, Evaluation Frameworks, Data Pipelines Source: https://www.paraform.com/share/longitude-labs/cmrdwtlj300000djmmm0hmpjy PhD in ML/CS/CV or quantitative science (strongly preferred) Top-venue publications (ICML, NeurIPS), ideally top author with cited work Deep LLM, benchmark design, eval methodology and data quality expertise NYC or SF, in-office 5 days
Longitude Labs: stealth data infrastructure for leading AI labs (30 people, $30M raised; founders from a top frontier lab and an AI-infra decacorn). One of the first dedicated research hires. Comp: $250K-$350K base (can go higher for exceptional research credentials) + competitive equity. Location: In-office 5 days (flexible to 4), NYC or SF. Visa: Visa transfers and sponsorship available. Responsibilities Design and own benchmarks, evals and dataset taxonomies setting the standard for AI data quality Independent research and publishing to establish thought leadership in AI benchmarks Identify where frontier models fail and build datasets to close gaps Partner with domain experts and deployment leads (life sciences, finance) on what high-quality data looks like Drive the research agenda with autonomy Tech stack: Python, PyTorch, LLMs, Evaluation Frameworks, Data Pipelines Source: https://www.paraform.com/share/longitude-labs/cmrdwtlj300000djmmm0hmpjy PhD in ML/CS/CV or quantitative science (strongly preferred) Top-venue publications (ICML, NeurIPS), ideally top author with cited work Deep LLM, benchmark design, eval methodology and data quality expertise NYC or SF, in-office 5 days (flex 4)