Applied Ml Triage, Evaluation & Monitoring Tech Lead

General Motors

Base: $218,800 - $335,300; bonus: incentive pyy ba...
Not specified
Applied ml evaluation and monitoring
End-to-end ml stack ownership
Simulation and real-world data integration
General Motors is seeking an Applied ML Triage, Evaluation & Monitoring Tech Lead to oversee the development and operation of machine learning evaluation tools for autonomous vehicles. The ideal candidate will have a strong background in applied ML, systems engineering, and team leadership, with a focus on enhancing the performance and safety of autonomous driving technologies

Job Summary

  • This role leads the design and operation of scalable evaluation and monitoring systems to enable safe autonomous driving at scale.
  • The successful candidate will partner with AI/ML, simulation, and safety teams to drive systematic improvements through deep causal analysis.
  • General Motors offers a comprehensive benefits package including health insurance, retirement savings, and tuition assistance alongside competitive compensation.

Matching Summary

Match Score: 85

General Motors is seeking an Applied ML Triage, Evaluation & Monitoring Tech Lead to oversee the development and operation of machine learning evaluation tools for autonomous vehicles. The ideal candidate will have a strong background in applied ML, systems engineering, and team leadership, with a focus on enhancing the performance and safety of autonomous driving technologies.

Salary

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

Skills & Requirements

Must-have

  • Applied ML evaluation and monitoring
  • End-to-end ML stack ownership
  • Simulation and real-world data integration
  • Cross-functional team leadership
  • Root cause analysis and triage

Nice-to-have

  • Mentoring and growing engineering teams
  • Experience in safety-critical systems
  • High ambiguity environment adaptability
  • Inclusive team culture building
  • Strategic roadmap shaping

Key Requirements

  • Bachelor's degree in Computer Science or related field
  • 2+ years of management experience
  • 5+ years in applied ML or systems engineering
  • Experience with validation pipelines using simulation and real data

Work Rights

Not specified

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