Applied ML​/AI Manager – Behavior Validation

• Lead and grow a cross-functional team focused on behavior evaluation and human benchmarking for autonomous vehicles
• Design, implement, and operate offboard ML models for robust behavioral inference
• Architect technical roadmaps and shape strategic ML priorities aligned with company objectives and product milestones
• Partner with autonomy, simulation, safety, and product teams
• Integrate behavior models into the autonomous-vehicle validation ecosystem
• Turn human expectations about safe, comfortable, and intuitive driving into scalable evaluation frameworks
• Inform model development and release decisions
• Define behavior evaluation against human drivers
• Integrate behavior critic signals into validation pipelines, continuous release, and long-term performance monitoring

• 8+ years of experience
• MS/PhD in Computer Science, Machine Learning, Robotics, Software Engineering, Data Science, or a related field
• Strong programming and data skills in Python and Py Torch
• Experience fine-tuning and deploying vision-based and/or time series-based ML/AI pipelines to production
• 2+ years of people management or tech lead experience leading engineering teams
• Preferred: experience with autonomous driving, robotics, or other safety-critical domains
• Preferred: experience in perception, prediction, planning, validation, safety, or systems engineering roles
• Preferred: experience designing and training foundation models
• Preferred: background with simulation-based validation for autonomy systems
• Selected candidate must be able to travel less than 25% for the role
• If living within a 50-mile radius of an applicable GM hub, must report to that location at least three times per week

Demonstrates expertise in leading cross-functional teams focused on behavior evaluation and human benchmarking for autonomous vehicles, with strong capabilities in designing and implementing machine learning models and integrating them into validation ecosystems.

• Machine Learning Model Development
• Python Programming
• PyTorch Framework
• People Management
• Autonomous Driving Experience

• Machine Learning
• Behavior Evaluation
• Data Science
• Robotics
• Software Engineering
• Vision-Based ML Pipelines
• Time Series-Based ML Pipelines
• Model Fine-Tuning
• Model Deployment
• Simulation-Based Validation

• Leadership
• Collaboration
• Strategic Thinking
• Communication

• MS/PhD in Computer Science
• MS/PhD in Machine Learning
• MS/PhD in Robotics
• MS/PhD in Software Engineering
• MS/PhD in Data Science

• Autonomous Vehicles
• Safety-Critical Domains
• Behavior Models
• Validation Ecosystem
• Human Benchmarking