Principal Machine Learning Engineer Seattle, Washington, United States Seattle, Washington

Axon Enterprise; Seattle (WA); Hybrid; USD 177,000 - 283,200; Full time

Benefits offered by this job

Competitive salary and 401k with employer match

Discretionary paid time off

Paid parental leave

Fitness Programs

Mental Wellness support

Employee Resource Groups

Office snacks

Job summary

A leading technology company in Seattle is seeking a Senior Engineer to architect and implement AI solutions. This role involves collaborating with scientists and developing on-device monitoring systems. The ideal candidate has over 13 years of experience in software engineering, particularly with large-scale applications, and possesses advanced skills in AI and programming languages such as Python and C++. The position offers a competitive salary and includes hybrid work flexibility.

Qualifications

• 13+ years of software engineering experience with large-scale distributed platforms.
• Experience with AI on chips and on-device model management.
• Advanced knowledge in chips development.

Responsibilities

• Architect and develop secure on-device solutions for AI models.
• Collaborate with scientists to implement edge distributed training.
• Implement monitoring solutions for model improvement.

Skills

Software engineering

AI technologies

Python

C++

Problem-solving

Education

Bachelor’s Degree in Computer Science, Engineering, Physics, Mathematics

Master’s Degree or PhD in a relevant field

Tools

TensorFlow

PyTorch

Job description

Location: Seattle, Washington, United States

Join Axon and be a Force for Good.

Your Impact

What You’ll Do

Location:Hybrid from Seattle, WA
Reports to:VP, Dedrone Engineerin

• 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.

What You Bring

• Bachelor’s Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly technical field.
• 13+ 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.

Preferred

• Master’s Degree or PhD 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.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Fitness Programs
• Emotional & Mental Wellness support
• Employee Resource Groups (ERGs)
• 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.

Location:This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in‑person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in‑office culture is designed to foster meaningful teamwork, mentorship, and shared success.

#LI-Hybrid

Base Pay Range

$177,000 — $283,200 USD

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.

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 [e-mail]. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.