For companies:
For professionals:
For everyone:
Responsibilities
Exciting opportunity for Machine Learning / Reinforcement Learning Engineers interested in building the next generation of AI training environments.Role: RL Environment EngineerThe work focuses on designing and implementing tool-based environments (“tool gyms”) where AI models can learn to interact with complex software tools and perform realistic knowledge-work tasks.Build custom RL environmentsDevelop simulation frameworks for AI agentsWrite clean, modular code for RL training pipelinesTest and refine environment mechanicsCollaborate on architecture and technical challengesSupport advanced reinforcement learning researchIdeal background:ML / RL engineering experienceHands-on experience building custom RL environments or tool gymsStrong Python/software engineering skillsFamiliarity with AI agents, simulations, or ML infrastructureAbility to commit around 20 hours per weekThis could be a great opportunity for RL Engineers, AI Researchers, Simulation Developers, and ML Infrastructure Specialists looking to work on practical AI research and training systems.
Closes in:
0
days
0
hours
0
min
0
sec
tune NOT FOR YOU? IMPROVE YOUR RESULTS