General Motors
Applied ML/AI Manager - Behavior Validation
$219K–$335K
Sunnyvale, California, United States of America · Remote/Hybrid · Manager · Full-time · Posted Oct 22, 2026
- Experience
- 8+ years of experience; 2+ years of people management or tech lead experience.
- Education
- MS/PhD in Computer Science, Machine Learning, Robotics, Software Engineering, Data Science, or a related field.
About the job
Leads a team building and operating ML-based behavior evaluation and human benchmarking systems to validate autonomous-vehicle behavior and inform development and release decisions.
What you'll do
- Lead and grow a cross-functional team focused on behavior evaluation and human benchmarking.
- Design, implement, and operate offboard ML models for behavioral inference; set technical roadmaps and priorities.
- Partner with autonomy, simulation, safety, and product teams to integrate models into validation systems and pipelines.
What they ask for
- 8+ years of experience and an MS/PhD in Computer Science, Machine Learning, Robotics, Software Engineering, Data Science, or a related field.
- Strong programming and data skills in Python and PyTorch.
- Experience fine-tuning and deploying production vision-based and/or time series-based ML/AI pipelines.
- 2+ years of people management or tech lead experience leading engineering teams.
Nice to have
- Experience in autonomous driving, robotics, or other safety-critical domains.
- Experience designing and training foundation models or with simulation-based validation for autonomy systems.
Pay
$218,800 - $335,300 USD base salary
Tools
Python, PyTorch
AI focus
Develop and deploy offboard ML models for behavioral inference, behavior critics, and human benchmarking to evaluate autonomous-vehicle behavior and support validation and release decisions.
Model-written summary · the original posting is authoritative