Staff Machine Learning Engineer, Compute

General Motors Australia & New Zealand

Base: $198,900 - $304,800; bonus: incentive pyy ba...
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7+ years industry experience
Expertise in go c++ python
Strong kubernetes at scale background
** General Motors Australia & New Zealand is seeking a Staff Machine Learning Engineer to enhance their ML Compute Platform, which supports AI initiatives, including autonomous vehicle development. The role requires extensive experience in software engineering, particularly with distributed systems and cloud platforms, with a focus on backend services and user experience. **

Job Summary

  • The team owns the cloud-agnostic, reliable, and cost-efficient compute backend that powers GM AI for autonomous vehicles and other products.
  • You will be responsible for building critical backend services, integrating with GPU hardware, and driving improvements to system architecture.
  • Compensation includes a base salary range of $198,900 - $304,800 plus an incentive pay program based on performance.

Matching Summary

Match Score: 75

** General Motors Australia & New Zealand is seeking a Staff Machine Learning Engineer to enhance their ML Compute Platform, which supports AI initiatives, including autonomous vehicle development. The role requires extensive experience in software engineering, particularly with distributed systems and cloud platforms, with a focus on backend services and user experience. **

Salary

Base: $198,900 - $304,800; Bonus: Incentive pay based on company and individual performance; Benefits: Medical, dental, vision, retirement, vehicle discounts

Skills & Requirements

Must-have

  • 7+ years industry experience
  • Expertise in Go C++ Python
  • Strong Kubernetes at scale background
  • Distributed systems experience
  • Cloud platform experience GCP Azure AWS

Nice-to-have

  • Hands-on ML platform experience
  • GPU TPU optimization skills
  • PyTorch TorchX framework knowledge
  • Ray framework experience
  • Open source community participation

Key Requirements

  • 7+ years of industry experience
  • Expertise in Go C++ Python or similar languages
  • Strong background with Kubernetes at scale
  • Experience leading large-scale initiatives

Work Rights

Not specified

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