Staff Machine Learning Engineer - ML Training Infrastructure
Providence, RI, United States • Posted June 24, 2026
Job Type:
Full-time
Location:
Providence, RI
Posted:
June 24, 2026
Category:
other-general
Application Deadline:
July 04, 2026
Role Description
**Job Description**
**The Role: **
We are seeking an experienced, technically strong, impact-driven expert in ML Training Infrastructure with a demonstrated ability to lead through hands-on technical work. In this role, you will be responsible for defining the technical direction and driving the design and development of scalable, reliable, and high-performance AI/ML platform infrastructure that enables advanced AI research and model development at scale.
As a Staff ML Engineer, you will operate as a technical leader across initiatives, partnering closely with machine learning engineers, research scientists, and platform teams to shape architecture, drive major technical decisions, and deliver state-of-the-art AI infrastructure that enables the future of intelligent driving technologies across General Motors vehicles.
**What You'll Do:**
+ Define and drive the architecture, design, and development of scalable, reliable, and high-performance ML frameworks and platform ca...
**The Role: **
We are seeking an experienced, technically strong, impact-driven expert in ML Training Infrastructure with a demonstrated ability to lead through hands-on technical work. In this role, you will be responsible for defining the technical direction and driving the design and development of scalable, reliable, and high-performance AI/ML platform infrastructure that enables advanced AI research and model development at scale.
As a Staff ML Engineer, you will operate as a technical leader across initiatives, partnering closely with machine learning engineers, research scientists, and platform teams to shape architecture, drive major technical decisions, and deliver state-of-the-art AI infrastructure that enables the future of intelligent driving technologies across General Motors vehicles.
**What You'll Do:**
+ Define and drive the architecture, design, and development of scalable, reliable, and high-performance ML frameworks and platform ca...
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