AV Behavior Validation Lead — Applied ML/AI Manager

General Motors

Sunnyvale (CA)

Hybrid

USD 219,000 - 335,000

Full time

4 days ago
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Benefits offered by this job

Company vehicle program
Relocation benefits

Job summary

General Motors is seeking an Applied ML/AI Manager - Behavior Validation to lead a cross‑functional team that builds and operates behavior critics and human benchmarking for ML‑driven autonomy systems. You will partner with autonomy, simulation, safety and product teams to define how behavior is judged, integrate signals into validation pipelines, and influence model development and release decisions.

The role requires strong leadership, deep ML expertise, and the ability to translate subjective

Qualifications

  • 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.
  • 2+ years of people management or tech lead experience leading engineering teams.

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.

Skills

Python
PyTorch
ML/AI
Leadership

Education

MS/PhD in CS/ML/Robotics

Job description

General Motors is seeking an Applied ML/AI Manager - Behavior Validation to lead a cross‑functional team that builds and operates behavior critics and human benchmarking for ML‑driven autonomy systems. You will partner with autonomy, simulation, safety and product teams to define how behavior is judged, integrate signals into validation pipelines, and influence model development and release decisions.

The role requires strong leadership, deep ML expertise, and the ability to translate subjective

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