Senior Principal Machine Learning Engineer

AUTODESK CONSTRUCTION CLOUD

US
Base: $165,000 - $296,450; bonus/equity: annual ca...
Hybrid
Foundation model infrastructure
Large-scale ml systems delivery
Distributed training on compute clusters
Act as a technical leader and delivery owner for complex, high-impact ML initiatives spanning foundation models, reinforcement learning, data systems, and large-scale ML platforms

Job Summary

  • Act as a technical leader and delivery owner for complex, high-impact ML initiatives spanning foundation models, reinforcement learning, data systems, and large-scale ML platforms.
  • Lead the design, development, and delivery of complex ML systems, owning the full lifecycle from model architecture selection and data strategy to distributed training and production deployment.
  • From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work.

Matching Summary

Act as a technical leader and delivery owner for complex, high-impact ML initiatives spanning foundation models, reinforcement learning, data systems, and large-scale ML platforms.

Salary

Base: $165,000 - $296,450; Bonus/Equity: annual cash bonuses, stock grants; Benefits: comprehensive benefits package

Skills & Requirements

Must-have

  • Foundation Model infrastructure
  • large-scale ML systems delivery
  • distributed training on compute clusters
  • PyTorch and Python proficiency
  • multimodal AEC data integration

Nice-to-have

  • technical judgment shaped by production
  • thrives in ambiguous problem spaces
  • mentoring senior engineers
  • shaping technical culture
  • delivering real-world impact at scale

Key Requirements

  • Master’s or PhD in AI/ML related field
  • 10+ years of experience in machine learning/AI
  • Proven track record of technical leadership
  • Experience mentoring engineers
  • Expert-level deep learning architectures
  • Hands-on distributed training frameworks

Work Rights

Not specified

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