ML Evaluation Engineer: RL Environments & Data Design

Wintermeyer Ventures is seeking an applied AI researcher to join our team in San Francisco. You will build Python-based software to support reinforcement learning environments and model evaluation, helping ML systems perform more reliably in real-world domains.

You will design data collection strategies and evaluation rubrics, create data slices to surface failure modes in finance, code, and enterprise workflows, and convert nuanced evaluation needs into structured data and assessment methods