Senior Machine Learning Engineer

General Motors is seeking a Senior Machine Learning Engineer to join their Smart Agents group, which is responsible for building ML models and systems to simulate road users for autonomous vehicle testing. The role focuses on developing ML/RL models that control virtual vehicles, bikers, and pedestrians in simulation environments, essentially creating realistic AI-driven characters that interact with autonomous vehicles during training.

The position combines cutting-edge machine learning with autonomous vehicle technology, utilizing Generative AI models (GPT) and Reinforcement Learning (RL) policies. The team works closely with Simulation, Behaviors, Perception, and Safety Engineers to create comprehensive testing environments for autonomous vehicles.

As a Senior ML Engineer, you'll be responsible for developing sophisticated machine learning models, optimizing training loops, and creating robust infrastructure for both production deployment and rapid experimentation. The role requires strong software engineering skills and deep expertise in ML/RL, particularly in contexts where real-time performance is critical.

The position offers competitive compensation ($134,000-$205,000) and comprehensive benefits, including health insurance, 401k, and various GM-specific perks. While the role is remote, candidates living near Atlanta, Austin, Detroit, Warren, Milford, or Mountain View are expected to work from office three times per week.

This is an opportunity to directly impact the future of autonomous driving technology while working with state-of-the-art ML/RL systems. The ideal candidate will combine strong technical skills with a passion for self-driving technology and its potential to create safer, more efficient transportation systems.