## 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
- 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.
## 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.
## Nice to have
- Former founders or experience at early-stage startups.
## What we offer
- **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.
Visa sponsorship is not available for this role.
