About Halluminate
Halluminate is a data research lab building benchmarks and RL environments to push the frontier of AI in knowledge work.
Our first area of focus is economically valuable workflows in financial services and consulting, but we are rapidly expanding into adjacent verticals.
The role
Base: $250–320k · Equity: 0.20–0.35% · Location: San Francisco, in-person
Lead our in-house research and post-training efforts.
Responsibilities
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Train open-source frontier models on our in-house environments to validate quality and build research insights.
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Lead our public-facing benchmark and leaderboard efforts for frontier models.
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Publish findings in blogs and papers to share with the broader research community.
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Contribute to core platform engineering as needed — AI tooling, data collection pipelines, partnering with environment and reward designers.
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Build our engineering team culture from the ground up.
You should have
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Experience in model post-training.
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Experience publishing papers and sharing open research.
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Familiarity building evaluations, benchmarks, or RL for AI agents.
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Startup speed: iterate quick, ask quick, respond quick.
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Strong product and user ownership.
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Client-facing comfort — you'll talk to users, customers, and SMEs.
Nice to have
- Former founders or experience at early-stage startups.
What we offer
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Healthcare — Fully covered medical, dental, and vision for you. Subsidized for dependents.
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Relocation — $10k+ relocation stipend to help you get to San Francisco.
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401(k) — Up to 4% employer match.
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Food — Free breakfast, lunch, and dinner while working.
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Health — Free gym membership.
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Transportation — Free Ubers and Waymo rides to and from the office.
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Visa sponsorship — We sponsor visas, including H-1B.
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