Senior ML Infrastructure Engineer - Embodied AI Scaling Foundations

General Motors is redefining mobility by creating vehicles and experiences designed to enhance safety and connectivity. They are seeking a Senior ML Infrastructure Engineer to build critical infrastructure for machine learning engineers working on autonomous driving models, aiming to accelerate the machine learning development cycle and improve the performance of their vehicles.

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