Reinforcement Learning Engineer

Job Summary

To support advanced reinforcement learning research, the part-time contract Reinforcement Learning Engineer will develop and test tool-based environments for knowledge work applications, focusing on creating robust simulation frameworks for model interactions with complex software tools.

Key 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

Required qualifications

• 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