Principal Machine Learning Engineer

Axon Enterprise

Seattle, WA, United States
Base: $177,000 - $283,200 usd; bonus/equity: inclu...
On-site
13+ years software engineering experience
Edge device ai model deployment
Python and c++ proficiency
The role involves architecting and implementing secure, privacy-preserving on-device solutions to enable the continuous improvement of AI models for counter-UAS devices

Job Summary

  • The role involves architecting and implementing secure, privacy-preserving on-device solutions to enable the continuous improvement of AI models for counter-UAS devices.
  • Candidates must have a proven track record of optimizing models for the edge and deploying AI solutions with limited memory and connectivity.
  • Axon offers competitive compensation including base pay ranging from $177,000 to $283,200, along with comprehensive benefits like paid parental leave and wellness support.

Matching Summary

The role involves architecting and implementing secure, privacy-preserving on-device solutions to enable the continuous improvement of AI models for counter-UAS devices.

Salary

Base: $177,000 - $283,200 USD; Bonus/Equity: Included as part of total compensation (stock awards); Benefits: 401k match, medical, dental, vision, paid time off

Skills & Requirements

Must-have

  • 13+ years software engineering experience
  • Edge device AI model deployment
  • Python and C++ proficiency
  • TensorFlow or PyTorch frameworks
  • On-chip development expertise
  • Distributed platform architecture

Nice-to-have

  • Computer Vision or NLU experience
  • Responsible AI and de-biasing knowledge
  • Master's degree or PhD in CS
  • Model encryption techniques
  • Cross-functional team collaboration

Key Requirements

  • Bachelor's degree in Computer Science or Engineering
  • 13+ years of software engineering experience
  • Hands-on experience with AI on chips
  • Advanced knowledge of on-chip development

Work Rights

Not specified

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