Applied Ai/ml Evaluation & Monitoring Manager, Autonomous Vehicle

General Motors

Base: $218,800 - $335,300; bonus: incentive pyy ba...
Not specified (potentially hybrid or onsite based on company culture).
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 for their Autonomous Vehicle organization. The role involves leading a team to develop machine learning evaluation tools and processes to enhance the safety and performance of autonomous driving systems

Job Summary

  • This role leads a team responsible for designing and operating scalable ML-driven evaluation tools to ensure safe and intuitive autonomous driving at scale.
  • The position requires partnering with cross-functional teams including AI/ML engineers, simulation experts, and product managers to drive systematic software improvements.
  • General Motors offers comprehensive benefits including medical, dental, vision, retirement savings plans, and tuition assistance alongside competitive compensation.

Matching Summary

Match Score: 85

General Motors is seeking an Applied AI/ML Evaluation & Monitoring Manager for their Autonomous Vehicle organization. The role involves leading a team to develop machine learning evaluation tools and processes to enhance the safety and performance of autonomous driving systems.

Salary

Base: $218,800 - $335,300; Bonus: Incentive pay based on company and individual performance; Benefits: Medical, dental, vision, HSA, FSA, retirement, paid vacation, tuition assistance

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
  • Deep causal analysis and triage systems

Nice-to-have

  • Experience in safety-critical systems
  • Mentoring diverse engineering talent
  • Fast-paced ambiguous environment adaptability
  • Strong narrative communication skills

Key Requirements

  • Bachelor's degree in Computer Science or related field
  • 2+ years of people management experience
  • 5+ years in applied ML or systems engineering
  • Graduate degree (MS/PhD) preferred

Work Rights

Not specified

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