Builds infrastructure and simulation engines for training autonomous AI agents in complex environments using reinforcement learning. Requires strong engineering skills in distributed systems, containerization, networking, and data systems.
200k – 350k/yr
On-siteDevOps / SRE
About the role
Responsibilities
Develop an advanced environment simulation engine for training & evaluating autonomous AI agents
Build scalable infrastructure to run thousands of simulation environments in parallel
Optimize the performance of complex, stateful simulation environments
Create tooling to improve environment and task creation processes
Publish research
Requirements
Strong engineering fundamentals and prolific use of AI tools
Experience with infrastructure, containerization, and networking
Experience with large scale distributed systems and data systems
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