Scientific AI & ML Engineer designing and deploying innovative AI - driven solutions. Collaborating with teams to solve complex scientific challenges through advanced machine learning techniques.
About the role
- Senior ML Engineer responsible for designing scalable AI/ML infrastructure at General Motors. Collaborating with teams on advanced AI solutions for intelligent driving technologies.
Responsibilities
- 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.
Requirements
- Bachelors 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.
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.
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