About The Position

Seed-Stage Applied AI Company Practice AI/ML Own the platform and build the RL environments frontier labs train agents on, then grow the engineering team around it. About the company Applied AI company building computer-use RL environments that train agents on investment banking, PE and hedge fund work. Sells to frontier labs. Accelerator graduate, freshly seed-funded.

Requirements

  • Has built evals, benchmarks or RL environments for AI agents
  • Works at startup speed: ships, asks and corrects quickly
  • Strong product ownership, able to prioritize across a large roadmap
  • Comfortable in front of customers, users and subject-matter experts

Nice To Haves

  • Research background (model training, publications)
  • Founder or early-stage experience

Responsibilities

  • RL environment training and inference infrastructure, built to handle customer usage at scale
  • Research and delivery of long-horizon environments that stay hard for frontier models
  • Domain-specific verifiers for decks, Excel models, quant trading and beyond
  • Tooling, synthetic data pipelines and analytics that raise environment throughput 10–100x
  • Engineering culture and practices, set from day one
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