Not specified (assumed hybrid based on industry trends).
Applied ml evaluation and monitoring
End-to-end ml stack ownership
Simulation and real-world data pipelines
General Motors is seeking an Applied AI/ML Evaluation & Monitoring Manager to lead a team responsible for developing and operating machine learning-driven evaluation tools for their autonomous vehicle software validation team. The ideal candidate should possess strong technical leadership, people management experience, and a solid background in applied machine learning and systems engineering
Job Summary
This role leads a team responsible for designing scalable evaluation and monitoring systems to ensure safe autonomous driving at scale.
The position requires partnering cross-functionally with AI/ML, simulation, and safety teams to prioritize improvement opportunities for the ML stack.
General Motors offers a comprehensive benefits package including medical, dental, vision, retirement savings, and tuition assistance programs.
Matching Summary
Match Score: 85
General Motors is seeking an Applied AI/ML Evaluation & Monitoring Manager to lead a team responsible for developing and operating machine learning-driven evaluation tools for their autonomous vehicle software validation team. The ideal candidate should possess strong technical leadership, people management experience, and a solid background in applied machine learning and systems engineering.
Salary
Base: $218,800 - $335,300; Bonus: Incentive pay based on performance; Benefits: Medical, dental, vision, HSA, FSA, retirement, paid vacation
Skills & Requirements
Must-have
Applied ML evaluation and monitoring
End-to-end ML stack ownership
Simulation and real-world data pipelines
People management of engineering teams
Root cause analysis and deep triage
Nice-to-have
Autonomous vehicle domain experience
Safety-critical systems background
Mentoring diverse engineering teams
Fast-paced ambiguous environment
Strategic thinking with hands-on execution
Key Requirements
Bachelor's degree in Computer Science or related field
2+ years people management experience
5+ years applied ML or systems engineering experience
Experience with simulation and on-road data evaluation