Staff AI/ML Engineer for Autonomous Driving

General Motors LLC; United States; Remote; USD 219,000 - 335,000; Full time

Benefits offered by this job

Health and wellbeing benefits

Relocation benefits

Company vehicle program

Job summary

General Motors LLC is seeking a Staff AI/ML Engineer in the Embodied AI organization to develop and deploy machine learning solutions that directly impact autonomous driving performance. You will design advanced ML models that enable safe, reliable vehicle behavior across real-world scenarios and collaborate with cross-functional teams to translate research into onboard systems.

You will drive prototyping through production deployment, mentor engineers, and stay current with ML frameworks and

Qualifications

• Bachelor's, Master's, or PhD in Computer Science, Robotics, Machine Learning, or related field.
• Experience with foundation models and alignment methods applied to real-world systems.
• Ability to deliver applied ML solutions under real-world constraints and timelines.
• Experience deploying ML models into production environments and end-to-end deployment workflows.

Responsibilities

• Design and implement ML solutions aligned with GM's autonomous driving objectives.
• Collaborate with cross-functional teams to deploy models into onboard driving systems.
• Prototype through production deployment and document learnings.
• Mentor engineers and contribute to technical direction within the domain.

Skills

Foundation models

Imitation learning

Reinforcement learning

Deployment experience

PyTorch

Python

Model training pipelines

Big data processing

Communication

End-to-end deployment

Education

Bachelor's, Master's, or PhD in CS/Robotics/ML

Tools

PyTorch

Python

NumPy

Pandas

Apache Spark

Job description

General Motors LLC is seeking a Staff AI/ML Engineer in the Embodied AI organization to develop and deploy machine learning solutions that directly impact autonomous driving performance. You will design advanced ML models that enable safe, reliable vehicle behavior across real-world scenarios and collaborate with cross-functional teams to translate research into onboard systems.

You will drive prototyping through production deployment, mentor engineers, and stay current with ML frameworks and