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. 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.

Your Impact

Are you eager to contribute to building AI products impacting the world for the greater good?

As a ML Engineer for Embedded AI 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, Axon Body, Axon Air, VR and more) by supporting the training, evaluation, testing and deployment of machine learning models on Axon devices.

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.


What You’ll Do

Location: Any of our Hub Locations in Seattle, Phoenix, Atlanta or Boston
Reports to: Sr Manager, Machine Learning Engineering

  • Collaborate with scientists and product managers to build proof-of-concepts (POCs) contributing to shaping the Axon of tomorrow.
  • Architect and develop secure, privacy-preserving, solutions to enable the continuous improvement of existing AI models.
  • Architect the next generation of the continuous deployment framework for AI on device.
  • Enable new AI feature on existing and new Axon’s devices by optimizing models for the edge.
  • Collaborate with scientists in architecting and implementing state-of-the-art training techniques

What You Bring

  • Bachelor’s Degree in Computer Science, Engineering, Electronics, Mathematics or an equivalent highly technical field.
  • 6+ years of software engineering experience and a proven track record of successfully deploying AI models on devices.
  • Experience with GPU/TPU development and debugging.
  • Proficiency in Python and C++, familiarity with ML frameworks such as TensorFlow, or PyTorch.
  • Advanced knowledge and hands-on experience with Linux.
  • Excellent problem solving skills and ability to dive deep into system architecture.
  • Excellent software design skills.
  • Comfort communicating and interacting with scientists, engineers and product managers.

Benefits that Benefit You

  • 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
  • And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work

The Pay: Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The starting base pay for this role is between USD 108,750 in the lowest geographic market and USD 174,000 in the highest geographic market. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit www.axon.com/careers/benefits.

Don’t meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.

Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Important Notes

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.

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.

Salary

$108,750 - $174,000

Yearly based

Location

Seattle, Washington, United States

Job Overview
Job Posted:
2 weeks ago
Job Expires:
Job Type
Full Time

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