Applied ML/AI Manager – Behavior Validation

Jobtailor; Sunnyvale (CA); On-site; USD 180,000 - 300,000; Full time

Job summary

Jobtailor seeks a seasoned leader to head a cross-functional team focused on behavior evaluation and human benchmarking for autonomous vehicles.

You will design, implement, and operate offboard ML models for robust behavioral inference and help shape the technical roadmap and priorities aligned with product milestones.

Qualifications

• 8+ years of experience
• MS/PhD in Computer Science, Machine Learning, Robotics, Software Engineering, Data Science, or related field
• Strong programming and data skills in Python and PyTorch
• 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

Skills

Machine Learning Model Development

Python Programming

PyTorch Framework

People Management

Autonomous Driving Experience

Education

MS/PhD in Computer Science

MS/PhD in Machine Learning

MS/PhD in Robotics

MS/PhD in Software Engineering

MS/PhD in Data Science

Tools

Python

PyTorch

Job description

• 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

Requirements

• 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 PyTorch
• 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

Core Competencies

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.

Highest-signal resume keywords

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

ATS Optimization Keywords

Hard Skills

• 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

Soft Skills

• Leadership
• Collaboration
• Strategic Thinking
• Communication

Certifications & Qualifications

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

Industry Keywords

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