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Senior Machine Learning Engineer II

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Axon

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Location:
United States , Seattle

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

156750.00 - 250800.00 USD / Year
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Job Description:

As a ML Engineer at Axon, you will contribute to architecting and implementing the platform used by Axon scientists to bring safe, secure, reliable AI features to Axon devices. Collaborating closely with scientists and device engineers, you will enable new AI capabilities for Axon products (Fleet, Axon Body, Axon Air, and more). You will also make sure As part of a multidisciplinary team, you will be exposed to a wide range of domains and applications: from Automatic License Plates Recognition to Object Tracking and Automatic Speech Recognition.

Job Responsibility:

  • Architect and develop secure, privacy-preserving, on device solutions to enable the continuous improvement of existing AI models
  • Collaborate with scientists in architecting and implementing state-of-the-art edge distributed training techniques
  • Implement on device monitoring solutions used for continuous model improvement
  • Implement innovative model compression solutions to enable AI at the edge
  • Impact the team by bringing your own expertise and deep knowledge of the state-of-the-art to introduce new techniques leading to tangible impact in terms of model fairness, performance, and platform scalability

Requirements:

  • Bachelor’s Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly technical field
  • 10+ years of software engineering experience and a proven track record of successfully architecting and maintaining large-scale distributed platforms
  • Experience with AI on chips, on device model deployment and management
  • Proficiency in python, C++, familiarity with ML frameworks such as TensorFlow, or PyTorch
  • Advanced knowledge and hands-on experience with on chips development
  • Excellent problem solving skills and ability to dive into system architecture, design, performance metrics, code, test plans, project plans, deployments and operations
  • Comfort communicating and interacting with scientists, engineers and product managers

Nice to have:

  • Master’s Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly technical field
  • Hands-on experience in solving Computer Vision or Natural Language Understanding problems in a business setting
  • Familiarity with responsible AI, de-biasing, model encryption and de-identification techniques
What we offer:
  • Competitive salary and 401k with employer match
  • Discretionary paid time off
  • Paid parental leave for all
  • Medical, Dental, Vision plans
  • Fitness Programs
  • Emotional & Mental Wellness support
  • Learning & Development programs
  • Employee Resource Groups (ERGs)
  • Snacks in our offices

Additional Information:

Job Posted:
February 17, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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