Senior Machine Learning Engineer

Role Overview We are seeking an experienced, technical oriented, impact delivering-driven expert in ML Training Infrastructure with a strong ability to execute hands‑on technical work. In this role, you will be responsible for designing and building scalable, reliable, and high-performance AI/ML platform infrastructure to support advanced AI research and model development initiatives. As a Senior ML Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to develop state‑of‑the‑art AI solutions that enable the future of intelligent driving technologies across General Motors vehicles. What You’ll Do Design and development of scalable, reliable, high‑performance ML framework to support model training at scale. Model training performance analysis and optimization solutions to scale distributed training workflows and maximize resource utilization across heterogeneous hardware environments, and save cost. Raise the bar on system observability, debuggability, and operational excellence, and user experience. Collaborate with cross‑functional teams to integrate new features and technologies into the platform. Required Qualifications Bachelor's degree or higher in Computer Science or equivalent major or equivalent relevant experience. 3+ years professional software engineering experience. 2+ years specialized experience in AI/ML infrastructure, e.g., enabling distributed training for scaling large ML models. Strong programming skills in Python, with proficiency in frameworks such as PyTorch (preferred), TensorFlow, or similar. Experience with distributed computing, GPU computing, and cloud environments (AWS, GCP, Azure). Willingness to travel to Sunnyvale, CA as needed. Comfortable working in highly ambiguous and dynamic environments. Preferred Qualifications 5+ years of professional software engineering experience. Self‑motivated, strong execution, impact‑delivering oriented. Extensive knowledge and experience with PyTorch 2.x+ and distributed training framework. Experience with design and development of training framework that supports FSDP, Pipeline Parallelism and other scalable solutions to training large foundational models. Experience with profiling, analysis, debugging and optimizing training and data loading performance. Excellent communication skills to resolve controversial, make consensus, communicate risks and give constructive feedback. Compensation The salary range for this role is $170,000 to $240,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Relocation & Remote Work This job may be eligible for relocation benefits. This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week (or other frequency dictated by your manager). The selected candidate will be required to travel 25% for this role. Benefits GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Equal Employment Opportunity General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non‑discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. #J-18808-Ljbffr General Motors