Member of Technical Staff - Research / Post-Training
About the role
About Halluminate
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.
The role
Base: $200–275k · Equity: 0.15–0.30% · 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.
About Halluminate
Halluminate provides fully managed environments and benchmarks so teams can train computer agents with superhuman capabilities.
We're working with frontier labs to train the Financial Services Super Intelligence. We do this by building high quality computer and tool-use RL gyms to train AI agents that do work across financial services verticals. (ex. excel modeling, powerpoint creation and more in Investment Banking, Private Equity, Hedge Funds, etc.)
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Job details
Salary
$200,000 - $275,000
Equity
0.15% - 0.3%
Location
San Francisco
Experience
8+ years
Company
Funding
Total raised
$530K
Last stage
Seed
Investors
What happens next.
No applications, no recruiter spam. Just the intro.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.
