About this role
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
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Design and own benchmarks, evals and dataset taxonomies setting the standard for AI data quality
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Independent research and publishing to establish thought leadership in AI benchmarks
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Identify where frontier models fail and build datasets to close gaps
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Partner with domain experts and deployment leads (life sciences, finance) on what high-quality data looks like
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Drive the research agenda with autonomy
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Tech stack: Python, PyTorch, LLMs, Evaluation Frameworks, Data Pipelines
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Source: https://www.paraform.com/share/longitude-labs/cmrdwtlj300000djmmm0hmpjy
Requirements
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PhD in ML/CS/CV or quantitative science (strongly preferred)
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Top-venue publications (ICML, NeurIPS), ideally top author with cited work
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Deep LLM, benchmark design, eval methodology and data quality expertise
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NYC or SF, in-office 5 days (flex 4)