Remote Principal AI/ML Engineer – Embodied Autonomy

General Motors LLC; United States; Remote; USD 296,000 - 454,000; Full time

Benefits offered by this job

Company vehicle program

Relocation benefits

GM Health & wellbeing benefits

Job summary

General Motors LLC is seeking a Principal Technical Lead in Embodied AI to design, architect, and deploy end-to-end ML models for autonomous driving. You will mentor engineers, drive projects from ideation to deployment, and collaborate with cross-functional teams to align foundation models for onboard driving.

This remote role requires advanced degrees in CS/Robotics/ML, hands-on experience with foundation models and PyTorch, and a track record of delivering production-ready ML systems under

Qualifications

• Bachelor’s, Master’s or PhD in Computer Science with focus in Robotics or Machine Learning.
• Proven experience with large-scale Foundation Models and alignment methods.
• Experience deploying foundation models into production environments.
• Proficiency in PyTorch and Python.
• Experience building scalable model training pipelines.

Responsibilities

• Design and implement technologies that align our models to GM’s mission.
• Apply techniques such as unsupervised pre-training, imitation learning, reinforcement learning, guidance, and selection to raise model performance.
• Collaborate with cross-functional teams to integrate distillation recipes of foundation models for onboard driving models.
• Conduct research and stay updated on AI frameworks and libraries.
• Lead projects from ideation to deployment, documenting learnings and best practices.
• Mentor junior team members and contribute to knowledge sharing culture.

Skills

Foundation models

PyTorch

Python

Large-scale training pipelines

Data processing (NumPy/Pandas/Spark)

Cross-functional communication

Robotics/Autonomous driving

Education

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

Job description

General Motors LLC is seeking a Principal Technical Lead in Embodied AI to design, architect, and deploy end-to-end ML models for autonomous driving. You will mentor engineers, drive projects from ideation to deployment, and collaborate with cross-functional teams to align foundation models for onboard driving.

This remote role requires advanced degrees in CS/Robotics/ML, hands-on experience with foundation models and PyTorch, and a track record of delivering production-ready ML systems under