Senior Machine Learning Engineer

General Motors is seeking a Senior Machine Learning Engineer to join their Smart Agents group, which is responsible for developing ML models and systems to simulate road users for autonomous vehicle training. This role combines cutting-edge machine learning with practical autonomous vehicle applications, focusing on creating realistic simulations for AV testing and training.

The position offers a competitive salary range of $134,000 to $205,000, along with comprehensive benefits including healthcare, retirement plans, and unique perks like GM vehicle discounts. Working remotely, you'll have the flexibility to work from home, though those near specific office locations are expected to maintain a hybrid schedule.

As a Senior ML Engineer, you'll be at the forefront of autonomous vehicle technology, working with advanced technologies including Generative AI models (GPT) and Reinforcement Learning (RL) policies. You'll be responsible for developing and optimizing ML/RL models, creating robust infrastructure, and building efficient data pipelines for both production deployment and rapid experimentation.

The ideal candidate brings 4+ years of experience in robotics or latency-sensitive backend services, strong programming skills in C++ or Python, and extensive experience with ML frameworks like TensorFlow or PyTorch. This role offers an opportunity to directly impact the future of autonomous driving technology while working with a talented team of Simulation, Behaviors, Perception, and Safety Engineers.

GM's vision of zero crashes, zero emissions, and zero congestion demonstrates their commitment to transformative technology and societal impact. This role offers not just technical challenges but the chance to contribute to safer, more efficient transportation systems of the future.