H

Halluminate

Data research lab creating RL benchmarks

Member of Technical Staff - Platform Engineering

Platform EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$215k - $275k /yr

About the Job

Requirements

  • Familiarity with building evaluations, benchmarks, or reinforcement learning for AI agents.
  • Ability to iterate quickly in a startup environment.
  • Strong product and user ownership, with the ability to prioritize across a large roadmap.
  • Comfort working directly with users, customers, and subject-matter experts.

Responsibilities

  • Build reinforcement learning environment training and inference infrastructure to support customer usage at scale.
  • Research and develop next-generation reinforcement learning environments that are increasingly realistic, long-horizon, and difficult for frontier models.
  • Build software that increases the quality and throughput of reinforcement learning environment creation by 10–100 times.
  • Develop synthetic data pipelines to create realistic problems.
  • Build platform analytics for environment cost, hours, bottlenecks, and subject-matter expert management.
  • Create domain-specific verifiers and verifiable rewards for presentations, Excel modeling, quantitative trading, and other domains.
  • Establish engineering culture and practices from the ground up.

Desired Qualifications

  • Research background in training models or publishing papers.
  • Former founder experience or experience at early-stage startups.

About the Company

Halluminate

Data research lab creating RL benchmarks

Halluminate builds benchmarks and reinforcement learning environments to advance AI for knowledge work. It creates computer-use and tool-use environments that train frontier AI models on real finance and consulting tasks, such as investment banking, private equity, and consulting work. A flagship benchmark, Westworld Finance Diligence Bench, contains 88 problems that simulate a complete company acquisition due-diligence process, with content written and reviewed by practicing deal professionals. The company differentiates itself by delivering domain-specific, practitioner-authored tasks and end-to-end workflows across financial services and consulting, and by expanding into adjacent verticals through data-driven RL environments. Its goal is to raise AI performance on real-world knowledge-work tasks and broaden benchmarks to cover more industries, supported by a 2026 Series A funding round led by Oak HC/FT and investors like Y Combinator.

Company size
51-200
Company stage
Series A
Total funding
$30.1M
Headquarters
San Francisco, CA
Founded
2024

Recently Posted Jobs

Explore more opportunities at Halluminate

See more jobs