Staff ML Engineer, Scalable Compute Platform

General Motors; Mountain View (CA); Hybrid; USD 195,000 - 298,000; Full time

Benefits offered by this job

Medical, dental, vision

Health Savings Account

Flexible Spending Accounts

Retirement savings plan

Life insurance

Paid vacation & holidays

Job summary

General Motors is seeking a Staff ML Engineer to build and scale robust compute platforms for ML workflows. This is a high-impact role that allows you to work closely with ML engineers and shape the user experience of the platform.

The successful candidate will design core backend software components and lead initiatives across GM's ML ecosystem while collaborating with various teams. This role is hybrid, requiring at least three days per week on-site in Mountain View, CA.

Qualifications

• 8+ years of industry experience.
• Experience leading and driving large-scale initiatives.
• Familiarity with observability, telemetry, and user feedback loops.

Responsibilities

• Design and implement core platform backend software components.
• Collaborate with ML engineers and researchers to improve developer experience.
• Lead large-scale technical initiatives across GM’s ML ecosystem.

Skills

Expertise in Go, C++, Python

Strong background with Kubernetes

Building large-scale distributed systems

Tools

Google Cloud Platform

Microsoft Azure

Amazon Web Services

Job description

General Motors is seeking a Staff ML Engineer to build and scale robust compute platforms for ML workflows. This is a high-impact role that allows you to work closely with ML engineers and shape the user experience of the platform.

The successful candidate will design core backend software components and lead initiatives across GM's ML ecosystem while collaborating with various teams. This role is hybrid, requiring at least three days per week on-site in Mountain View, CA.