← All roles

Member of Technical Staff, Post-Training, RL Environments

Mirendil· Tech
Apply on company site
San Francisco$300k - $400kFull-timePosted 4mo ago

About the role

Research engineer to build data systems and execution environments for reinforcement learning at Mirendil, owning data pipelines, sandboxed environments, and systems to assess and improve production model behavior.

Responsibilities

  • Build and automate data collection pipelines for complex, long-horizon RL tasks.
  • Build robust systems to identify and prevent reward hacking.
  • Build scalable sandboxed execution environments for realistic tasks involving potentially multiple agents, nodes, and users.
  • Design systems to estimate the influence of training environments on production model behavior.
  • Collaborate with teams across the stack to identify potential axes of improvements in production model behavior, and develop training environments to push these axes.

Skills

Required:Data collection pipelinesReward hacking preventionSandboxed execution environments
Nice to have:Training environment influence assessment
Last updated Aug 27, 2026. Interested? Apply on the company site.

About Mirendil

Mirendil — a frontier lab building systems that excel at AI R&D.

AI R&Dfrontier AIdemocratize frontier AI R&Dsystems that excel at AI R&D
Company profileWebsite

More open roles at Mirendil