Hybrid Staff ML Engineer – Embodied AI Scaling Foundations

at General Motors

• Job title: Staff ML Engineer – Embodied AI Scaling Foundations
• Job type: Full Time
• Experience level: Lead
• Salary: $189,000 - $300,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Cloud, Distributed Systems, Docker, Kubernetes, Python
• Location requirements: Hybrid, Sunnyvale, United States

About the role

• Staff ML Engineer building scalable platforms for ML model training and evaluation at GM. Collaborating on autonomous driving technology development and mentoring junior engineers.

Responsibilities

• Lead the design, implementation, and deployment of scalable platforms and tools that drive machine learning model training and evaluation workflows across GM.
• Own complex technical projects end-to-end, making key architectural decisions and technical trade-offs.
• You will be a core contributor to team planning, design reviews, and code quality.
• Take a holistic view of projects, considering their impact across multiple teams, and proactively drive technical prioritization.
• Collaborate closely with partner teams to ensure maximum benefit from the systems we build.
• Help shape our team through technical interviewing with high, well-calibrated standards, and play an essential role in recruiting.
• Mentor and onboard junior engineers and interns, helping them grow their careers.

Requirements

• 5+ years of experience building large-scale distributed systems, applications, or advanced ML systems.
• Proven track record of designing robust frameworks with high-quality, durable APIs.
• Deep understanding of machine learning algorithms with hands-on application.
• Expertise in building reliable, high-performance, and cost-efficient systems on modern cloud infrastructure.
• End-to-end experience across the ML development lifecycle, including MLOps practices.
• Strong cross functional collaboration skills across teams and organizations.
• Proficiency with containerization and orchestration technologies (e.g., Docker, Kubernetes).
• Exceptional coding skills in Python or C++.
• Strong interest in autonomous driving and its transformative potential.
• BS, MS, or PhD in Computer Science, Mathematics, or equivalent practical experience.

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.
• Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate.
• This job may be eligible for relocation benefits.