Senior Machine Learning Engineer II

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. 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.

Location: Hybrid from Seattle, WA

Reports to: Senior Director, AI Platform Engineering

Direct Reports

• 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 Tensor Flow, 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.

• 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.

• 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

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.

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 ().

Base Pay Range

$156,750—$250,800 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…