Applied ML/AI Manager - Behavior Validation
$219k - $335k • Sunnyvale, California, United States of America • Full-time
Posted 9d ago
Remote Work Policy
On-site
Employment Type
Full-time
Categories
Machine Learning Engineer
About the job
As an Applied ML/AI Manager - Behavior Validation, you will lead a team focused on building and operating behavior critics and human benchmarking capabilities for ML-driven autonomy systems. Your team will translate subjective human expectations about safe, comfortable, and intuitive driving into rigorous, scalable evaluation frameworks that directly inform model development and release decisions. You will partner closely with autonomy, simulation, safety, and product teams to define how behavior is judged against human drivers and integrate behavior critic signals into validation pipelines, continuous release, and long-term performance monitoring.
Responsibilities
- Lead and grow a cross-functional team focused on behavior evaluation and human benchmarking for autonomous vehicles.
- Design, implement, and operate offboard ML models capable of robust behavioral inference.
- Architect technical roadmaps, shaping strategic ML priorities aligned with company objectives and product milestones.
- Partner closely with autonomy, simulation, safety, and product teams to integrate these models into the validation ecosystem of autonomous vehicles.
Requirements
- 8+ years of experience and 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.
- Demonstrated experience fine-tuning and deploying to production vision-based and/or time series-based ML/AI pipelines.
- 2+ years of people management or tech lead experience leading engineering teams.
- Experience with autonomous driving, robotics, or other safety-critical domains, especially in perception, prediction, planning, validation, safety, or systems engineering roles.
- Experience designing and training foundation models.
- Demonstrated background with simulation-based validation for autonomy systems.
Benefits
- Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
- Company Vehicle: Eligible to participate in a company vehicle evaluation program.
- Relocation benefits are available.