Senior Machine Learning Engineer

General Motors

Sunnyvale, California, United States
Base: $170,000 to $240,000; bonus: incentive pyy p...
Hybrid (fully remote with potential onsite requirements)
3+ years professional software engineering experience
2+ years specialized ai/ml infrastructure experience
Strong python programming skills with pytorch or tensorflow
General Motors is seeking a Senior Machine Learning Engineer to develop scalable AI/ML platform infrastructure for intelligent driving technologies. The role requires extensive experience in AI/ML infrastructure, strong programming skills, and collaboration with cross-functional teams. The position offers competitive compensation and a variety of benefits within a remote work environment

Job Summary

  • The role involves designing scalable, reliable, and high-performance ML framework to support model training at scale for intelligent driving technologies.
  • Candidates will collaborate with cross-functional teams to integrate new features and maximize resource utilization across heterogeneous hardware environments.
  • General Motors offers a comprehensive benefits package including medical, dental, vision, retirement savings, and employee vehicle discounts.

Matching Summary

Match Score: 85

General Motors is seeking a Senior Machine Learning Engineer to develop scalable AI/ML platform infrastructure for intelligent driving technologies. The role requires extensive experience in AI/ML infrastructure, strong programming skills, and collaboration with cross-functional teams. The position offers competitive compensation and a variety of benefits within a remote work environment.

Salary

Base: $170,000 to $240,000; Bonus: Incentive pay program based on company and individual performance; Benefits: Medical, dental, vision, HSA, FSA, retirement plan, paid vacation, tuition assistance, GM vehicle discounts

Skills & Requirements

Must-have

  • 3+ years professional software engineering experience
  • 2+ years specialized AI/ML infrastructure experience
  • Strong Python programming skills with PyTorch or TensorFlow
  • Experience with distributed computing and GPU environments
  • Cloud environment experience (AWS, GCP, Azure)

Nice-to-have

  • 5+ years of professional software engineering experience
  • Extensive knowledge of PyTorch 2.x and distributed training frameworks
  • Experience with FSDP and Pipeline Parallelism
  • Proficiency in profiling and debugging training performance
  • Excellent communication and consensus-building skills

Key Requirements

  • Bachelor's degree in Computer Science or equivalent major
  • Willingness to travel to Sunnyvale, CA as needed
  • Comfortable working in highly ambiguous and dynamic environments

Work Rights

Not specified

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