Member of Technical Staff - Research / Post-Training

1 нед. назад

200k–275k USD / yearUSALeadOnsite

reinforcement learningmodel evaluationbenchmarkingdata pipelinesresearch publication

Lead research and post-training efforts on AI models for financial services applications at .

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.

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.

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.
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.