Machine Learning Engineer - Remote

About The Company

General Motors (GM) is a global leader in automotive manufacturing and innovation, committed to shaping the future of mobility. With a vision centered around Zero Crashes, Zero Emissions, and Zero Congestion, GM strives to create safer, cleaner, and more efficient transportation solutions. The company fosters a culture of innovation, inclusion, and sustainability, leveraging cutting-edge technology and diverse talent to develop advanced vehicles and mobility services. GM's dedication to technological excellence and environmental responsibility positions it at the forefront of the automotive industry, driving progress through continuous innovation and strategic investments in future mobility solutions.

About The Role

We are seeking a highly experienced and technically proficient Staff Machine Learning (ML) Engineer specializing in ML Training Infrastructure. This role is pivotal in defining and driving the architecture, design, and development of scalable, reliable, and high-performance AI/ML platform infrastructure. As a key technical leader, you will collaborate with cross-functional teams, including machine learning engineers, research scientists, and platform engineers, to enable advanced AI research and large-scale model development. The position involves leading complex, ambiguous initiatives from conception through execution, influencing long-term infrastructure strategies, and establishing best practices to optimize model training workflows. The role offers an opportunity to impact the future of intelligent driving technologies across GM’s vehicle fleet, supporting the company's mission to revolutionize mobility through innovative AI solutions.

Qualifications

• Bachelor's degree or higher in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience
• 7+ years of professional software engineering experience
• 5+ years of specialized experience in AI/ML infrastructure, including distributed training for large-scale models
• Strong programming skills in Python, with expertise in frameworks such as PyTorch (preferred), TensorFlow, or similar ML systems
• Proven experience designing and operating distributed systems for ML training, including GPU computing and cloud environments (AWS, GCP, Azure)
• Demonstrated ability to lead cross-team infrastructure initiatives and drive measurable impact
• Excellent architectural judgment and ability to balance performance, reliability, usability, and cost considerations
• Willingness to travel to Sunnyvale, CA, as needed
• Ability to operate effectively in highly ambiguous and dynamic environments

Responsibilities

• Define and lead the architecture, design, and development of scalable ML training frameworks and platform capabilities
• Lead performance analysis and optimization efforts for distributed training workflows, enhancing scalability and efficiency across heterogeneous hardware
• Improve system observability, debuggability, operational excellence, and developer experience within the ML training stack
• Own large, cross-functional technical initiatives from strategy to delivery, including roadmap development and tradeoff analysis
• Identify and recommend long-term infrastructure investments, set engineering standards, and promote best practices across teams
• Collaborate with organizational teams to align requirements, resolve technical disagreements, and integrate new capabilities into the platform ecosystem
• Mentor engineers through technical guidance, design reviews, and hands-on collaboration to elevate engineering quality

Benefits

• Comprehensive health and wellbeing programs including medical, dental, and vision coverage
• Retirement savings plan and Health Savings Account (HSA) options
• Flexible Spending Accounts (FSA) and life insurance benefits
• Paid vacation, holidays, and paid time off
• Tuition assistance programs and employee development initiatives
• Employee assistance program offering support for personal and professional challenges
• GM vehicle discounts and potential participation in the company vehicle evaluation program
• Relocation benefits, if applicable

Equal Opportunity

General Motors is committed to fostering an inclusive and equitable workplace. We provide equal employment opportunities to all applicants and employees without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy, sexual orientation, gender identity, veteran status, or any other protected characteristic. We believe that diversity and inclusion are essential to our success and strive to create a work environment where everyone feels valued, respected, and empowered to contribute their best. We encourage candidates from all backgrounds to apply and participate in our hiring process, and we are dedicated to providing reasonable accommodations to ensure equal access to employment opportunities.