Senior AI/ML Engineer - Autonomous Driving (Remote)

General Motors LLC; United States; Remote; USD 171,000 - 261,000; Full time

Benefits offered by this job

Health benefits

GM vehicle discounts

Relocation assistance

Job summary

General Motors seeks a Senior AI/ML Engineer in the Embodied AI organization to develop and deploy machine learning solutions for autonomous driving performance. You will design and improve ML models to ensure safe, reliable vehicle behavior across real-world scenarios and work with senior engineers to translate research into production-ready systems.

You will collaborate with cross-functional teams, contribute to engineering best practices, and participate in reviews and documentation to

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Robotics, Machine Learning, or related field.
• Experience applying ML techniques to real-world systems or large-scale datasets.
• Proficiency in PyTorch and Python.
• Experience with model training pipelines or large-scale data processing workflows.
• Strong data processing skills using NumPy, Pandas, and Apache Spark.
• Ability to collaborate effectively within cross-functional engineering teams.
• Experience deploying ML models into production preferred.

Responsibilities

• Develop and deploy ML solutions for autonomous driving performance.
• Design and improve ML models for safe and reliable vehicle behavior.
• Collaborate with senior engineers and cross-functional teams to translate research into production-ready solutions.
• Participate in code reviews and documentation to support engineering quality.
• Assist in taking ML solutions from experimentation through deployment.

Skills

Python

PyTorch

Data processing

Production ML

Cross-functional collaboration

ML deployment

Education

Bachelor’s or Master’s in Computer Science, Robotics, ML

Tools

NumPy

Pandas

Apache Spark

Job description

General Motors seeks a Senior AI/ML Engineer in the Embodied AI organization to develop and deploy machine learning solutions for autonomous driving performance. You will design and improve ML models to ensure safe, reliable vehicle behavior across real-world scenarios and work with senior engineers to translate research into production-ready systems.

You will collaborate with cross-functional teams, contribute to engineering best practices, and participate in reviews and documentation to