Drimva

Mirendil

Member of Technical Staff, Post-Training, RL Environments

$300K–$400K

San Francisco · On-site · Staff · Full-time · Posted Jun 24, 2026

About the job

Build end-to-end data systems and execution environments that support reinforcement-learning training and improve production model behavior.

What you'll do

  • Build and automate data-collection pipelines for complex, long-horizon RL tasks.
  • Develop systems to identify and prevent reward hacking, and scalable sandboxed environments for realistic tasks.
  • Assess how training environments influence production behavior and collaborate on environments that improve it.

Pay

$300,000–$400,000 USD base salary

AI focus

Build data pipelines and training environments for reinforcement learning, including work to improve production model behavior and prevent reward hacking.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)