Principal Machine Learning Engineer

Franmarbuscompany

Austin, TX, US
Base: $296,300 to $453,200; bonus/equity: an incen...
Fully remote
Ai/ml platform infrastructure
Large-scale model training
Distributed training
We are seeking a Principal AI Engineer to lead the design and advancement of our AI platform, shaping the infrastructure that powers large-scale training and cloud inference

Job Summary

  • We are seeking a Principal AI Engineer to lead the design and advancement of our AI platform, shaping the infrastructure that powers large-scale training and cloud inference.
  • This role involves accelerating training throughput, scaling multi-modal models, and enabling the next generation of AI-driven driving systems.
  • GM offers a variety of health and wellbeing benefit programs, including medical, dental, vision, retirement savings plan, and more.

Matching Summary

We are seeking a Principal AI Engineer to lead the design and advancement of our AI platform, shaping the infrastructure that powers large-scale training and cloud inference.

Salary

Base: $296,300 to $453,200; Bonus/Equity: An incentive pay program offers payouts based on company performance, job level, and individual performance; Benefits: GM offers a variety of health and wellbeing benefit programs.

Skills & Requirements

Must-have

  • AI/ML platform infrastructure
  • Large-scale model training
  • Distributed training
  • PyTorch or TensorFlow
  • GPU computing
  • Cloud environments

Nice-to-have

  • Self-motivation and execution
  • Cross-functional project leadership
  • Profiling and optimization skills
  • C++ proficiency

Key Requirements

  • Bachelor's degree or higher in Computer Science or related field
  • 8+ years of professional software engineering experience
  • 4+ years of specialized experience in AI/ML domain
  • Proficiency in Python
  • Experience with distributed systems
  • Experience with cloud environments (AWS, GCP, or Azure)

Work Rights

Not specified

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