$218,800 to $335,300; bonus potential; health + we...
Not specified
Ml validation for av components
Ai validation critics
Llm-based agents
The Staff ML Validation Applied Scientist role at GM focuses on leading applied machine learning research to enhance the validation and verification processes for autonomous vehicle systems. Candidates will be responsible for developing metrics, tools, and workflows to improve the efficiency and robustness of ML components
Job Summary
Lead applied machine learning research focused on improving verification and validation of ML components and autonomous driving behavior at scale.
Transform advanced ML research into working prototypes and production-grade validation services, including AI validation critics that automatically review model behavior.
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Matching Summary
Match Score: 85
The Staff ML Validation Applied Scientist role at GM focuses on leading applied machine learning research to enhance the validation and verification processes for autonomous vehicle systems. Candidates will be responsible for developing metrics, tools, and workflows to improve the efficiency and robustness of ML components.
Salary
$218,800 to $335,300; Bonus Potential; Health and wellbeing benefit programs
Skills & Requirements
Must-have
ML validation for AV components
AI validation critics
LLM-based agents
Python and C++ proficiency
production systems over large datasets
ML for robotic systems evaluation
Nice-to-have
autonomous vehicles background
AI-assisted tooling impact
simulation environments experience
safety-critical ML systems tools
Key Requirements
8+ years experience
MS/PhD in relevant field
Python and systems language proficiency
Experience building production systems
Experience evaluating modern ML for robotic systems