Lead ML Validation Engineer for Autonomous Systems

General Motors; United States; On-site; USD 144,700 - 261,300; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Retirement savings plan

Paid vacation

Employee assistance program

Job summary

General Motors is seeking a Senior ML Validation Research Engineer to lead applied machine learning research focused on improving the verification and validation of ML components for robotics and autonomous driving systems. Candidates should have strong skills in Python and ML frameworks, along with a Master's degree and relevant experience. This role offers a salary range of $144,700 to $261,300 plus a bonus potential. The company also provides comprehensive health benefits and a supportive work environment.

Qualifications

• MS + 5 years, or PhD + 3 years in ML, Robotics, Computer Science, or related work experience.
• Experience with simulation-driven ML evaluation for robotics/autonomy.
• Strong proficiency in Python, PyTorch/JAX/TensorFlow.

Responsibilities

• Prototype research concepts into performant tools integrated into CI/CD.
• Advance ML research for simulation validation.
• Develop scenario generation and coverage-guided testing tools.

Skills

Machine learning research

Robotics

Python

PyTorch

TensorFlow

Communication skills

Education

MS in ML, Robotics, Computer Science or related

PhD in ML, Robotics, Computer Science or related

Tools

JAX

CARLA

DriveSim

Job description

General Motors is seeking a Senior ML Validation Research Engineer to lead applied machine learning research focused on improving the verification and validation of ML components for robotics and autonomous driving systems. Candidates should have strong skills in Python and ML frameworks, along with a Master's degree and relevant experience. This role offers a salary range of $144,700 to $261,300 plus a bonus potential. The company also provides comprehensive health benefits and a supportive work environment.