Build reinforcement learning environments and evaluation frameworks for creative domains. Design grading rubrics and agent harnesses to improve model output quality. Requires 2-7 years of experience in RL, backend engineering, and Python/PyTorch.
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Technical Skills Required
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Job Description
About the company
Our client is a seed-stage AI company building the data and infrastructure layer that improves model quality in subjective, creative domains, starting with design. It has raised $18.5M and has revenue-generating partnerships with frontier AI labs and application-layer companies. Its products support post-training, reinforcement learning, context and verification.
The role
As AI Engineer, RL & Evals, you will build reinforcement learning environments, evaluation frameworks and production infrastructure for creative domains. You will combine backend or full-stack product engineering with applied ML and own systems from design through delivery.
What you'll do
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