Build and maintain ML platform infrastructure for RL environments, including Karotte framework, containerized deployments, and lab integrations. Automate delivery pipelines, sandbox untrusted code, and develop internal tools for environment builders. Requires 5+ years in ML platform engineering, container orchestration, and Python library/API development.
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About Us
Preference Model is a superintelligence data research company building RL environments for training capable, better-aligned superintelligences. We address alignment and capability issues in AI by improving RL environments for current and future AI systems.
About the Role
As an MTS on our ML Platform team, you will own the systems that package, sandbox, and deliver RL environments to partner labs. This includes Karotte (our open-source environment framework), internal platform for building/running environments on CPU/GPU/TPU, and integrations for lab delivery. Success in the first six months includes automating delivery paths for partner labs.
What You Will Do
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