AI / ML Engineer - Remote

About The Company

General Motors is a global leader in the automotive industry, committed to redefining mobility through innovative solutions and cutting-edge technology. Our product teams focus on creating vehicles and experiences that prioritize safety, intelligence, and connectivity. We are dedicated to turning today's technological possibilities into tomorrow's standards, from advanced hardware and battery systems to intuitive software and next-generation safety features. With a focus on human-centered design, we aim to develop products that not only move millions of people worldwide but also enhance the driving experience by making transportation safer, smarter, and more sustainable. Our commitment to innovation and excellence positions us at the forefront of the future of transportation, shaping a connected and autonomous mobility ecosystem.

About The Role

As a Staff AI/ML Engineer within the Embodied AI organization at General Motors, you will play a pivotal role in advancing autonomous driving capabilities. You will serve as a senior individual contributor responsible for developing, deploying, and optimizing machine learning solutions that directly impact vehicle performance and safety. Your expertise will help design sophisticated ML models that enable autonomous vehicles to operate reliably across diverse real-world scenarios. Collaborating closely with cross-functional engineering teams, you will contribute to defining technical strategies and support the growth of engineering talent through mentorship and knowledge sharing. Your work will involve translating cutting-edge research into scalable onboard ML solutions, continuously improving our autonomy stack, and ensuring the deployment of robust, safe, and efficient AI systems that drive the future of 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
• 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
• Demonstrated ability to deliver applied ML solutions within real-world constraints and timelines
• Experience deploying machine learning models into production environments and understanding end-to-end deployment workflows
• Strong communication skills for effective cross-team collaboration
• Experience in robotics or autonomous driving systems is preferred
• Relevant experience in applied research, model optimization, and infrastructure development

Responsibilities

• Design and implement machine learning solutions aligned with General Motors' autonomous driving objectives
• Apply advanced techniques such as unsupervised pre-training, imitation learning, reinforcement learning, and foundation modeling to solve complex problems in object detection, tracking, classification, and trajectory generation
• Collaborate with cross-functional teams to deploy models and algorithms into onboard vehicle systems ensuring safety and reliability
• Contribute to applied research efforts, staying current with advancements in ML frameworks and methodologies
• Develop and maintain efficient infrastructure, pipelines, and tooling to facilitate rapid model iteration and deployment
• Lead technical execution from prototyping to production deployment, documenting best practices and learnings
• Mentor and support engineers through technical collaboration, code reviews, and knowledge sharing to foster engineering excellence
• Support continuous improvement of the autonomy stack through innovative solutions and process enhancements

Benefits

• Comprehensive health and wellbeing benefit programs including medical, dental, and vision coverage
• Health Savings Account (HSA) and Flexible Spending Accounts (FSA)
• Retirement savings plans with company contributions
• Sickness and accident benefits, life insurance, and paid vacation and holidays
• Tuition assistance programs to support ongoing education and professional development
• Employee assistance programs offering counseling and support services
• GM vehicle discounts and access to company vehicle evaluation programs
• Potential relocation benefits for eligible candidates

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 any other protected status in accordance with applicable laws and regulations.