Staff ML Engineer - Embodied AI Scaling Foundations

Job Description

At General Motors, we're turning today's impossible into tomorrow's standard. Our vehicles already move millions of people every day, and we're building the autonomy that will drive them - L2 through L4, on real roads, at real scale. Making self-driving safe at that scale is one of the hardest AI problems there is.

The Data Scaling team owns the data flywheel for AV foundation model pre-training and SFT. We determine what data the AV needs in order to learn driving behaviors at scale, and we define what data quality means across the loop. The team delivers ML models that move the product up the data scaling curves, turning better data composition into measurably better driving behavior. We work with the very large datasets GM already has and we define the next generation of highest-value datasets GM collects.

With each major release we aim to 10x the effective data behind our models: more scale, more diversity, and more value extracted from every example.