Senior Machine Learning Engineer

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 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. What You’ll Do Location: Hybrid from our office in Seattle, Washington. Reports to: 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 platforms that accelerate research and AI product development. Collaborate with scientists in architecting and implementing state-of-the-art training techniques. Set high standards for ethical and responsible AI development. 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 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. 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. What You Bring Master’s Degree/PhD in Computer Science, Engineering, Electronics, Mathematics or an equivalent highly technical field. Experience with LLMOps - evaluation, monitoring, quantization, teacher-learner, etc.). Hands-on experience with fine-tuning large parameter models. Familiarity with model encryption and privacy preserving AI techniques. 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 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 Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. 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 https://www.axon.com/careers . Base Pay Range $150,750 — $241,200 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. 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. We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at [email protected] 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 [email protected]. 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 [email protected] .

{
  "content_hash": "cc75c8547a4c5e4db838dbac3e431021b9485f867ff2a8833c8215b4206b4f96",
  "source_hash": "5fb33d320b6c5840538ab9dc40db0de91cd336b0f6a025d896f8f067bbb389db",
  "last_changed_at": "2026-06-03T10:41:07.407Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "Seattle, Washington, United States",
    "city": "Seattle",
    "region": "WA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.95
  },
  "salary_max": 241200,
  "salary_min": 150750,
  "inferred_at": "2026-06-06T19:57:42.324Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Seattle, Washington, United States",
      "city": "Seattle",
      "region": "WA",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.95
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": "year",
  "workplace_type": "hybrid",
  "salary_currency": "USD"
}

{}

{
  "title": "Senior Machine Learning Engineer",
  "offices": [
    {
      "id": 4095721003,
      "name": "Washington-Office",
      "location": "Washington, United States",
      "child_ids": [],
      "parent_id": 4010735003
    }
  ],
  "language": "en",
  "location": {
    "name": "Seattle, Washington, United States"
  },
  "metadata": [
    {
      "id": 21180254003,
      "name": "Job Family Group",
      "value": "Engineering",
      "value_type": "single_select"
    },
    {
      "id": 21180255003,
      "name": "Job Family",
      "value": "Machine Learning",
      "value_type": "single_select"
    }
  ],
  "updated_at": "2026-06-02T12:53:58-04:00",
  "departments": [
    {
      "id": 4018698003,
      "name": "2014 Artificial Intelligence",
      "child_ids": [],
      "parent_id": 4135156003
    }
  ],
  "company_name": "Axon",
  "requisition_id": 5698660003,
  "first_published": "2026-03-06T18:47:34-05:00",
  "application_deadline": null
}