RL Environment Engineers: Building Tool Gyms for Knowledge Work

We are conducting a paid project to build tool-based environments for complex knowledge work. We need experienced reinforcement learning engineers to dedicate around 20 hours per week to developing and refining these specialized tool gyms.

Responsibilities

• Design and implement tool-based environments for knowledge work simulations.
• Write clean and modular code to support reinforcement learning training pipelines.
• Troubleshoot and refine environment mechanics based on testing feedback.
• Collaborate asynchronously and participate in remote progress check-ins.

Requirements

• Professional experience as a machine learning or reinforcement learning engineer
• Hands-on background building custom RL environments or tool gyms
• Ability to commit to approximately 20 hours of work per week
• Comfortable discussing technical architecture and implementation strategies