Senior ML Systems Engineer - AI Evaluation Foundations

Description About the Team The Evaluation Foundations team, part of Embodied AI's Scaling Foundations, solves critical evaluation challenges for autonomous vehicle development. We engineer high-performance tools that identify top-performing models and partner with data-intensive ML teams to drive rapid innovation. Why Join Us? Develop introspection and evaluation tools capable of processing billions of examples to extract maximum value from our large-scale datasets. Join a high-impact team of engineers and machine learning scientists leveraging advanced AI to drive L2, L3, and L4 autonomous vehicle innovation. Directly influence the safety, reliability, and scalability of next-generation autonomous systems. About the Role As a Senior Engineer in the Embodied AI Scaling Foundations organization, you will be a key technical contributor on the team that measures and visualizes AV model performance. You will work across the stack to design, implement, and iterate on evaluation and introspection tools used by Embodied AI and adjacent GM AV teams In this role you will: Build and improve high-quality evaluation signal and introspection tools that help shorten the experimental path towards the best model. Develop and maintain visualization and metrics presentation within our model evaluation loop. Help teams introspect model behavior and reach actionable next steps with fewer manual steps. Participate in design and code reviews and work with Data, Infra, and validation teams to connect offline evaluation with real-world behavior. You will collaborate closely with modeling and data scaling teams working on our Compound AI driving models to design and implement evaluation workflows at scale with model-based metrics, end-to-end simulation, and tooling that connects evaluation signals back to data, training, and launch decisions. Your work contributes to a cohesive evaluation flywheel: better signal → better data and training decisions → better