Staff ML Engineer - Training Infrastructure (Remote)

General Motors; Austin (TX); On-site; USD 185,000 - 335,300; Full time

Benefits offered by this job

Health and wellbeing benefit programs

Paid vacation & holidays

Tuition assistance programs

GM vehicle discounts

Job summary

General Motors is seeking a Staff ML Engineer to define technical direction for AI/ML infrastructure. This role involves designing scalable systems and collaborating across teams to shape architecture for advanced AI research.

The ideal candidate has a strong background in Python and AI/ML infrastructure with 7+ years of software engineering experience. The position is remote, allowing candidates to work from anywhere in the U.S.

Qualifications

• 7+ years of professional software engineering experience.
• 5+ years of specialized experience in AI/ML infrastructure.
• Strong programming skills in Python.

Responsibilities

• Define and drive ML frameworks and platform capabilities.
• Lead model training performance analysis and optimization.
• Own large technical initiatives from strategy through execution.

Skills

Python programming

AI/ML infrastructure

Distributed systems design

Architectural judgment

Education

Bachelor's degree in Computer Science or related field

Tools

PyTorch

TensorFlow

AWS

GCP

Azure

Job description

General Motors is seeking a Staff ML Engineer to define technical direction for AI/ML infrastructure. This role involves designing scalable systems and collaborating across teams to shape architecture for advanced AI research.

The ideal candidate has a strong background in Python and AI/ML infrastructure with 7+ years of software engineering experience. The position is remote, allowing candidates to work from anywhere in the U.S.