Staff ML Engineer — Agent Evals & Post-Training

Nominal seeks a Staff Research Engineer to shape how we measure agent evals and lead post-training efforts. You will build eval suites grounded in hardware tasks and drive the data-to-model path, including RL, distillation, and model fine-tuning, across air-gapped environments. You will collaborate with hardware experts to define what “correct” means and set the strategy for continuous improvement of models and evaluation methods in a fast-paced hardware AI context.