Note: The job is a remote job and is open to candidates in USA. Terac is building a global pool of vetted human experts for AI research, labs, and product teams. The company is seeking an RL environment engineer to build and test tool-based simulation environments for knowledge work, support reinforcement learning training pipelines, and refine environment designs through technical feedback and model performance.
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
Skills
- 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
Benefits
- Remote work arrangement
- Approximately 20 hours of work per week
- Paid interview
Company Overview