The roleBase: $200-275k •
Equity: 0.25-0.5% •
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.
