Halluminate builds RL environments for financial services — computer-use and tool-use gyms that train frontier AI models on real investment banking, private equity, and consulting work. Backed by Y Combinator and Alchemist.
About the role
Base: $200–275k · Equity: 0.15–0.30% · Location: San Francisco, in-person Train open-source frontier models on our in-house environments to validate quality and build research insights.
More about this role
Halluminate is an applied AI and data company building computer-use and tool-use RL gyms to train AI agents on real financial services work — Excel modeling, pitch decks, and everything investment banking, private equity, and hedge funds rely on. We work with frontier labs, graduated from Y Combinator (S25), and raised a seed round to scale the team.
Base: $200–275k · Equity: 0.15–0.30% · Location: San Francisco, in-person
Lead our in-house research and post-training efforts.
Train open-source frontier models on our in-house environments to validate quality and build research insights.
Lead our public-facing benchmark and leaderboard efforts for frontier models.
Publish findings in blogs and papers to share with the broader research community.
Contribute to core platform engineering as needed — AI tooling, data collection pipelines, partnering with environment and reward designers.
Build our engineering team culture from the ground up.
Experience in model post-training.
Experience publishing papers and sharing open research.
Familiarity building evaluations, benchmarks, or RL for AI agents.
Startup speed: iterate quick, ask quick, respond quick.
Strong product and user...
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