Remote Senior AI/ML Engineer, Autonomous Driving

Aimlroles; Mountain View, Northern (CA, KY); Hybrid; USD 171,000 - 261,000; Full time

Benefits offered by this job

Health & wellbeing benefits

Retirement savings plan

Tuition assistance

Job summary

General Motors is seeking a Senior AI/ML Engineer in the Embodied AI organization to develop and deploy machine learning solutions that improve autonomous driving performance. You will help design and improve models that support safe, reliable vehicle behavior across real-world scenarios.

You will work with senior engineers and cross-functional teams to translate research into production-ready solutions, contribute to engineering best practices, and participate in code reviews, documentation,

Qualifications

• Bachelor’s or Master’s degree in CS, robotics, ML, or related field.
• Experience applying ML to real-world systems or large data.
• Proficiency in PyTorch and Python; knowledge of data processing tools.

Responsibilities

• Develop and improve ML solutions aligned with autonomous driving goals.
• Apply unsupervised pre-training, imitation learning, RL, and foundation modeling.
• Collaborate to deploy models into onboard driving systems.
• Evaluate models and translate research into practical apps.
• Support ML deployment from experimentation to production.
• Participate in code reviews and documentation to maintain quality.

Skills

Cross-functional collaboration

Production ML experience

Model deployment

Education

Bachelor’s or Master’s degree in CS, Robotics, ML, or related field

Tools

PyTorch

Python

NumPy

Pandas

Apache Spark

Job description

General Motors is seeking a Senior AI/ML Engineer in the Embodied AI organization to develop and deploy machine learning solutions that improve autonomous driving performance. You will help design and improve models that support safe, reliable vehicle behavior across real-world scenarios.

You will work with senior engineers and cross-functional teams to translate research into production-ready solutions, contribute to engineering best practices, and participate in code reviews, documentation,