About The Company At General Motors, our product teams are at the forefront of redefining mobility and transportation. We are committed to creating innovative vehicles and experiences through a human-centered design process that emphasizes safety, connectivity, and sustainability.
Our focus spans from developing breakthrough hardware and advanced battery systems to designing intuitive software and next-generation safety and entertainment features. With a global presence, we aim to move millions of people daily, making driving safer, smarter, and more connected. Our dedication to innovation and excellence positions us as a leader in the future of transportation, shaping the industry with cutting-edge technology and sustainable solutions.
About The Role We are seeking a highly skilled Staff AI/ML Engineer to join our Embodied AI organization. This senior individual contributor will play a pivotal role in developing and deploying machine learning solutions that enhance autonomous driving capabilities.
The ideal candidate will design and implement advanced machine learning models to ensure safe, reliable, and efficient vehicle behavior across various real-world scenarios. You will collaborate closely with cross-functional engineering teams, contribute to the technical direction of projects, and mentor junior engineers to foster a culture of innovation and technical excellence. Your work will be instrumental in translating research breakthroughs into scalable onboard ML solutions, continuously improving our autonomy stack, and supporting the future of autonomous mobility.
Qualifications
Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Machine Learning, or a related field
Experience working with large-scale foundation models and alignment techniques applied to real-world systems
Proven ability to deliver applied ML solutions within real-world constraints and timelines
Proficiency in PyTorch and Python programming languages
Experience building and scaling model training pipelines for efficient iteration
Strong data processing skills using tools such as NumPy, Pandas, and Apache Spark
Excellent communication skills for effective collaboration across engineering teams
Experience deploying ML models into production environments and understanding end-to-end deployment workflows
Preferred: Experience in robotics or autonomous driving systems
Responsibilities
Design and implement machine learning solutions aligned with General Motors’ autonomous driving objectives
Apply techniques such as unsupervised pre-training, imitation learning, reinforcement learning, foundation modeling, and model scaling to solve problems related to object detection, tracking, classification, trajectory generation, and safety
Collaborate with cross-functional teams to deploy models and algorithms into onboard vehicle systems
Contribute to applied research efforts and stay current with advancements in ML frameworks and methodologies
Design and develop efficient infrastructure, pipelines, and tooling to facilitate rapid model iteration and deployment
Lead technical execution from prototyping through production deployment, documenting best practices and lessons learned
Support and mentor engineering team members through technical collaboration, code reviews, and knowledge sharing
Benefits
Comprehensive health and wellbeing benefits including medical, dental, and vision coverage
Health Savings Account (HSA) and Flexible Spending Accounts (FSA)
Retirement savings plan with company contributions
Sickness and accident benefits, life insurance
Paid vacation and holidays
Tuition assistance programs
Employee assistance program
GM vehicle discounts
Potential relocation benefits
Participation in company vehicle evaluation programs, subject to eligibility
Equal Opportunity
General Motors is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. We believe that diverse perspectives and experiences drive innovation and excellence in our organization.