5 дней назад
Research Program Manager (AI)
175 000 - 191 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Research Program Manager (AI) (research operations and foundation model evaluation): Running benchmark releases, academic and industry collaborations, and research roadmaps with an accent on evaluation quality, technical planning, and external partner coordination. Focus on reading results tables, running evals, maintaining leaderboards, unblocking research projects, and translating technical findings into clear communications.
Location: San Francisco, on-site
Salary: $175,000–$191,000 annually, plus equity and bonus opportunities
Company
is an applied research lab developing data solutions for foundation model development and supporting frontier AI research.
What you will do
- Run academic and industry collaborations, including fellowships, grants, and joint research projects, from scoping through delivery.
- Coordinate benchmark releases end to end and maintain release cadence.
- Maintain leaderboards and benchmark sites, verifying results before publication.
- Track research projects, identify resourcing gaps and technical bottlenecks, and recommend changes to scope or timelines.
- Coordinate expert pools for upcoming benchmarks, including capacity planning and contributor logistics.
- Write launch briefs, partner updates, planning documents, and status memos that communicate technical results clearly.
Requirements
- 1–3+ years of experience in research operations, technical program management, or a similar role in a research or engineering organization.
- Technical background in computer science, machine learning, statistics, or a related field, with working Python and SQL.
- Experience evaluating a product, agent, or foundation model, including interpreting results tables and identifying unreliable results.
- Excellent written and verbal communication for working with researchers, engineers, executives, academics, and external partners.
- Experience running cross-functional programs involving external partners, contractors, or collaborators.
- Comfort working with ambiguity and building lightweight processes from scratch.
Nice to have
- Graduate degree or research experience in a technical field.
- Contribution to a benchmark, dataset, or evaluation project.
- Familiarity with public leaderboards, open research communities, expert pools, annotator operations, or human-data work.
- Experience with fellowships, grants, academic collaborations, lightweight dashboards, or small tools built with AI assistants.
Culture & Benefits
- Work alongside engineers and researchers building foundation model data infrastructure.
- Medical, vision, and dental insurance.
- 401(k) with employer match.
- Daily UberEats meal stipend.
- Monthly wellness stipend.
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