## About Halluminate Halluminate is a data research lab building benchmarks and RL environments to push the frontier of AI in knowledge work. Our first area of focus is economically valuable workflows in financial services and consulting, but we are rapidly expanding into adjacent verticals. ## The role **Base:** $220–280k · **Equity:** 0.15–0.30% · **Location:** San Francisco, in-person Own and lead the development of frontier training gyms for finance verticals.
Ideal for finance analysts or associates with deep interest or expertise in AI/ML. ## Responsibilities - Define and prioritize the training-gym roadmap based on real-world finance experience. - Build end-to-end systems and processes from scratch to support $MMs in revenue this year. - Own delivery and quality criteria for data and environments shipped to customers. - Recruit and train our contractor finance staff. - Create training materials for AI systems (modeling exercises, pitch decks, etc.). - Partner with frontier engineering and research teams to implement and deliver gyms. ## You should have - Experience teaching and giving feedback on modeling, decks, or client deliverables. - A track record of owning end-to-end deliverables for live deals. - Experience leading large teams and owning deadlines for big projects. - An ability to learn deeply technical concepts in ML, AI, data, and engineering. - Comfort using coding tools (Cursor, Claude Code) to build platforms and speed up processes. ## Nice to have - Engineering background (e.g.
CS). - Experience with 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.
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Data and RL environments to automate knowledge work