Staff AI / ML Engineer - Embodied AI

Job Description At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. Role As a Staff AI/ML Engineer in the Embodied AI organization, you will serve as a senior individual contributor developing and deploying machine learning solutions that directly impact autonomous driving performance. You will design and implement advanced ML models that enable safe and reliable vehicle behavior across diverse real-world scenarios. In this role, you will partner closely with cross-functional engineering teams, contribute to core technical direction within your domain, and support the growth of engineers through technical collaboration and mentorship. You will help translate research into scalable onboard ML solutions while contributing to the continuous improvement of our autonomy stack. What You'll Do Design and implement ML solutions aligned with GM’s autonomous driving objectives. [... source excerpt omitted ...] works and methods. Design and build efficient infrastructure, pipelines, and tooling to facilitate fast-pace model iterations. Drive technical execution from prototyping through production deployment, documenting learnings and best practices. Support and mentor engineers through technical collaboration and code reviews, fostering knowledge sharing and engineering excellence. Your Skills & Abilities Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Machine Learning, or related field. Experience working with large-scale foundation models and alignment methods applied to real-world systems. Demonstrated ability to deliver applied ML solutions under real-world constrai [... source excerpt omitted ...] s using tools such as NumPy, Pandas, and Apache Spark. Strong communication skills enabling effective collaboration across engineering teams. Experience deploying ML models into production environments and understanding end-to-end deployment workflows. Experience in robotics or autonomous driving systems preferred. Remote: This role is based remotely but if you live within a 50-mile radius of Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times per week, at minimum. Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable