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Axon

Senior Machine Learning Engineer

Axon · Seattle, Washington, United States

Posted about a month ago

or apply directly on Axon's site. We never take the application ourselves.

Is this posting real?

This role has been open
30 days
Axon's roles stay open a median of 45 days
Reposted
No
Salary listed
No
2% of Axon's roles list one
Ghost-job risk at Axon
low
0 stale, 11 reposted of 526 open
Hiring momentum
811 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Axon's own greenhouse board since 2026-08-03. Full hiring picture for Axon.

About this role

As a Senior Machine Learning Engineer at Axon, you will develop AI solutions that enhance public safety and support the company's mission to Protect Life. Your role involves collaborating with a multidisciplinary team to build and deploy machine learning models across various products, tackling challenges in areas like computer vision, speech recognition, and natural language understanding. You will also have opportunities to influence technical direction and mentor others as you grow within the organization.

Our read on this posting3.6out of 5
benefits
4/5
freshness
4/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Axon as an employer.

What you need

  • Bachelor’s degree in Computer Science, Engineering, Electronics, Mathematics, or another highly technical field
  • 6+ years of software engineering experience, including a proven track record of deploying AI/ML models to production in the cloud
  • Strong experience with cloud architecture and infrastructure as code
  • Proficiency in Python and C++
  • Experience using ML frameworks such as PyTorch or TensorFlow
  • Advanced, hands-on knowledge of Linux environments and systems

Nice to have

  • Master’s degree or PhD in Computer Science, Engineering, Electronics, Mathematics, or another highly technical field
  • Experience with LLMOps, including model evaluation, monitoring, quantization, distillation/teacher-student approaches, and production deployment
  • Hands-on experience fine-tuning and optimizing large-scale models
  • Familiarity with model encryption, privacy-preserving machine learning, and secure AI techniques

What you get

  • 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

Worth weighing

  • Hybrid work schedule requires in-person collaboration from Tuesday to Friday, with remote work on Mondays unless accommodations are made
  • No specific salary range mentioned beyond a broad base pay range of $150,750 to $241,200 USD
  • Job description may change or be supplemented at any time based on business needs
  • Some roles may require legal eligibility to work in a firearms environment

Summarised from Axon's posting. Read the full original.

Listed by Axon on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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