axon
Senior Machine Learning Engineer
At a Glance
- Location
- Seattle, Washington, United States
- Work Regime
- hybrid
- Experience
- 6+ years
- Posted
- 2026-03-06T18:47:34-05:00
Key Requirements
Required Skills
Domain Knowledge
- Engineering
Requirements
6+ years of software engineering experience and a proven track record of successfully deploying AI models to the cloud.
Experience with Infrastructure-as-code and cloud architecture.
Proficiency in Python and C++, familiarity with ML frameworks such as TensorFlow, or PyTorch.
Advanced knowledge and hands-on experience with Linux.
Experience with LLMOps - evaluation, monitoring, quantization, teacher-learner, etc.).
Familiarity with model encryption and privacy preserving AI techniques.
Compensation & Benefits
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
Responsibilities
Are you eager to contribute to building AI products impacting the world for the greater good?
As an ML Engineer at Axon, you will contribute to developing AI solutions transforming the public safety space and supporting our company’s mission: accelerate justice, protect truth, and save lives.
Working closely with other ML engineers and scientists, you will enable new AI capabilities for Axon’s products (Fleet, Draft One, Axon Air, VR and more) by supporting the training, evaluation, testing and deployment of machine learning models on Axon devices and cloud.
As part of a multidisciplinary team, you will be exposed to a wide range of AI domains and applications: from computer vision to speech recognition and natural language understanding.