Role focused on owning evaluation solutions end-to-end: designing methodologies and rubrics, building pipelines and tooling, deploying and monitoring production evals, creating benchmarks and adversarial tests, and translating eval signal into training priorities. Requires 5+ years of software/ML engineering experience, strong Python and PyTorch/TensorFlow skills, applied statistics knowledge, and experience with AWS and Databricks.