Founding Member of Technical Staff - Research / Post-Training

Role Summary

Base: $200–275k · Equity: 0.25–0.5% · Location: San Francisco, in-person

Lead our in-house research and post-training efforts.

YOU SHOULD HAVE

• 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 ownership.
• Client-facing comfort — you'll talk to users, customers, and SMEs.

Responsibilities

• 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.

Requirements

NICE TO HAVE

• Former founders or experience at early-stage startups.

Benefits

• Healthcare — Fully covered medical, dental, and vision for you. Subsidized for dependents.
• Relocation — $10k+ relocation stipend to help you get to San Francisco.
• 401(k) — Up to 4% employer match.
• Food — Free breakfast, lunch, and dinner while working.
• Health — Free gym membership.
• Transportation — Free Ubers and Waymo rides to and from the office.
• Visa sponsorship — We sponsor visas, including H-1B.

About the Company

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.