Senior Machine Learning Engineer

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 eager to contribute to building AI products impacting the world for the greater good? As an ML Engineer at Axon, you will develop 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.

Location: Remotely from US or 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.

• 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 Tensor Flow, or PyTorch.
• Advanced knowledge and hands‑on experience with Linux.
• Excellent problem‑solving skills and ability to dive deep into system architecture.
• Comfort communicating and interacting with scientists, engineers and product managers.

• 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.

• Competitive salary and 401(k) with employer match
• Discretionary paid time off
• Paid parental leave for all
• Fitness programs
• Emotional & mental wellness support
• 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 150,750 in the lowest geographic market and USD 221,000 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.

For more details on our benefits offerings, please visit

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…