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.