Axon
Axon~1mo ago
USD 156750-250800/yr

Senior Machine Learning Engineer II

Data ScienceMachine Learning EngineerDataData & AI
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Quick Summary

Overview

Join Axon and be a Force for Good. At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together.

Requirements Summary

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…

Technical Tools
cpppythonpytorchtensorflowmachine-learningmentoring

At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.

Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.

Are you passionate about AI? Do you love engineering solutions enabling fast, cutting-edge science? Are you eager to contribute to building products impacting the world for the greater good?

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.

The ideal candidate will have a consistent track record of successfully optimizing models for the edge and deploying AI models at the edge, including on device with limited memory & connectivity, to serve users world wide. They will understand the AI lifecycle and be capable of supporting scientists end-to-end along the development of a new machine learning models and AI capabilities, leading to better and more responsible AI solutions. They are willing to be bold and stand up to support the team in enabling features transforming the life of officers, and driving a positive impact in the public safety space.

Responsibilities

~1 min read
  • 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.
  • 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

~1 min read
  • 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

~2 min read
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)
And yes, we have snacks in our offices

The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.

Some roles may also require legal eligibility to work in a firearms environment.

We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice.

Axon’s mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon’s impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.

We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com.  Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.

Phishing alert:  Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process.  All legitimate job openings are listed on our official careers page at https://www.axon.com/careers.  If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.

 

Location & Eligibility

Where is the job
Seattle, United States
On-site at the office
Who can apply
US
Listed under
United States

Listing Details

First seen
March 26, 2026
Last seen
May 5, 2026

Posting Health

Days active
40
Repost count
0
Trust Level
42%
Scored at
May 5, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust
Axon
Axon
greenhouse

Axon Enterprise, Inc. develops technology and weapons products for military, law enforcement, and civilians, including TASER devices, body-worn cameras, and cloud-based evidence management software.

Employees
3k+
Founded
1993
Domain
axon.com
View company profile
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AxonSenior Machine Learning Engineer IIUSD 156750-250800