Senior ML Engineer, Embodied AI Platform Scaling

General Motors; United States; Hybrid; USD 189,000 - 300,000; Full time

Benefits offered by this job

Health and wellbeing benefits

Retirement savings plan

Tuition assistance programs

GM vehicle discounts

Job summary

A leading automotive innovator in the United States is looking for an experienced engineer to join the Embodied AI team focused on autonomous driving technology. This role involves leading the design and implementation of machine learning solutions, owning complex projects, and mentoring junior engineers. The ideal candidate should have significant experience in distributed systems and machine learning, with a passion for transforming the future of transportation through innovation. A hybrid work model allows for flexibility in reporting to the Sunnyvale or Mountain View location.

Qualifications

• 5+ years of experience in large-scale distributed or ML systems.
• Proven track record of designing robust API frameworks.
• Deep knowledge of machine learning algorithms.

Responsibilities

• Lead design, implementation of machine learning tools.
• Own end-to-end technical projects, making architectural decisions.
• Mentor junior engineers and interns.

Skills

Distributed systems development

Machine learning algorithms

Cross-functional collaboration

Containerization technologies

Python or C++

Education

BS, MS, or PhD in Computer Science, Mathematics

Tools

Docker

Kubernetes

Job description

A leading automotive innovator in the United States is looking for an experienced engineer to join the Embodied AI team focused on autonomous driving technology. This role involves leading the design and implementation of machine learning solutions, owning complex projects, and mentoring junior engineers. The ideal candidate should have significant experience in distributed systems and machine learning, with a passion for transforming the future of transportation through innovation. A hybrid work model allows for flexibility in reporting to the Sunnyvale or Mountain View location.