PhD in Machine Learning, Computer Science, Computer Vision, or a related quantitative field (strongly preferred)
Publications in top-tier venues like ICML or NeurIPS, ideally as a lead author with cited work
Expertise in deep learning, benchmark design, evaluation methodology, and data quality
Experience with Python, PyTorch, and data pipelines
Familiarity with large language models (LLMs)
Responsibilities
Design and manage benchmarks, evaluations, and dataset taxonomies to set AI data quality standards
Conduct independent research and publish findings to establish thought leadership in AI benchmarks
Identify shortcomings in frontier models and create datasets to address these gaps
Collaborate with domain experts and deployment leads in sectors like life sciences and finance to define high-quality data
Drive the research agenda with a high degree of autonomy
Benefits
Competitive equity options
Visa transfers and sponsorship available
Flexible in-office work schedule (5 days, with potential for 4)
Opportunity to work in a cutting-edge AI infrastructure environment
Engagement with leading experts in the field
Full Job Description
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
