Staff ML Engineer – Embodied AI Data Foundations

General Motors Company; Sunnyvale (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

General Motors is seeking a Staff ML Engineer to advance embodied AI scaling foundations. You will design data-centric AI recipes, train models at scale on multi-GPU clusters, and collaborate with cross-functional teams to deploy models in onboard driving systems.

Required data-centric ML expertise, Python/PyTorch proficiency, and strong communication skills. Remote/hybrid work is available across Sunnyvale and Seattle, with a focus on scalable data-driven autonomous driving research.

Qualifications

• Master's or PhD in Computer Science, Robotics, or Machine Learning.
• Strong ML fundamentals with ability to design and interpret experiments.
• Experience with Python and PyTorch; large-scale data handling.

Responsibilities

• Design and run data-driven experiments linking data composition to model behavior.
• Apply self-supervised, imitation, reinforcement learning, and fine-tuning to driving tasks.
• Develop data curation, labeling, and evaluation methods for large datasets.

Skills

Python

PyTorch

Data-centric ML

Foundation models

NumPy/Pandas

SQL/Spark

Communication

Education

MS/PhD in CS/Robotics/ML

Tools

Spark

SQL

Job description

General Motors is seeking a Staff ML Engineer to advance embodied AI scaling foundations. You will design data-centric AI recipes, train models at scale on multi-GPU clusters, and collaborate with cross-functional teams to deploy models in onboard driving systems.

Required data-centric ML expertise, Python/PyTorch proficiency, and strong communication skills. Remote/hybrid work is available across Sunnyvale and Seattle, with a focus on scalable data-driven autonomous driving research.