Staff ML Engineer - Training Infrastructure (Remote)

General Motors; Mountain View (CA); Remote; USD 185,000 - 335,300; Full time

Benefits offered by this job

Health and wellbeing benefits

Tuition assistance programs

GM vehicle discounts

Job summary

General Motors is seeking an experienced Staff ML Engineer to lead the design and development of scalable AI/ML infrastructure. The role involves working across teams to define technical direction and ensure the success of ML initiatives. Ideal candidates should have a bachelor's degree, 7+ years of experience, and strong skills in Python and distributed systems.

This remote position offers a competitive salary ranging from $185,000 to $335,300, along with benefits including health programs and professional development support.

Qualifications

• 7+ years of professional software engineering experience.
• 5+ years in AI/ML infrastructure with distributed training for large models.
• Proven experience designing and operating distributed systems.

Responsibilities

• Define and drive the architecture and design of ML frameworks.
• Lead model training performance analysis and optimization.
• Collaborate across teams to align requirements and integrate capabilities.

Skills

Python programming

Distributed systems

Machine Learning frameworks (PyTorch, TensorFlow)

AI/ML infrastructure

Architectural judgment

Education

Bachelor's degree or higher in Computer Science

Tools

AWS

GCP

Azure

Job description

General Motors is seeking an experienced Staff ML Engineer to lead the design and development of scalable AI/ML infrastructure. The role involves working across teams to define technical direction and ensure the success of ML initiatives. Ideal candidates should have a bachelor's degree, 7+ years of experience, and strong skills in Python and distributed systems.

This remote position offers a competitive salary ranging from $185,000 to $335,300, along with benefits including health programs and professional development support.