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 medical, dental, vision, and retirement plans. As a remote position, you'll have flexibility in your work location, though regular office visits are required if you're near specific locations.

The role involves working with state-of-the-art technologies including Generative AI models (GPT) and Reinforcement Learning (RL) policies. You'll be developing ML/RL models, creating training loops, and building robust infrastructure for both production deployment and rapid experimentation. The work directly impacts GM's autonomous vehicle program, contributing to their vision of Zero Crashes, Zero Emissions, and Zero Congestion.

You'll collaborate closely with Simulation, Behaviors, Perception, and Safety Engineering teams, making this an excellent opportunity for someone passionate about autonomous vehicles and advanced ML applications. The ideal candidate brings 4+ years of relevant experience, strong programming skills, and a track record of deploying ML models in real-world environments.

This role offers the chance to work on meaningful projects that will shape the future of transportation, backed by GM's extensive resources and commitment to innovation. You'll be part of a team that's pushing the boundaries of what's possible in autonomous vehicle technology, while enjoying competitive compensation and comprehensive benefits.