Member of Technical Staff - Research / Post-Training

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. #J-18808-Ljbffr Halluminate