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Senior Computer Vision and Machine Learning Research Scientist

Axon · Seattle, Washington, United States

Location
Seattle, Washington, United States
Salary
$159,750 - $255,600 USD
Experience
3+ years
Funding
Public Company (NASDAQ: AXON)
Posted
Aug 14, 2026

Axon is hiring a Senior Computer Vision and Machine Learning Research Scientist based in Seattle, Washington, United States. Every apply link on Engg.space goes straight to the company's own careers page - no recruiter middleman, no generic job-board form.

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Role details

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 We are seeking a skilled and innovative Senior Research Scientist to join one of our AI teams focusing on computer vision and machine learning (CVML). As a research scientist at Axon you will play a crucial role in developing AI solutions that transform both the enterprise and public safety domains and support our company’s mission: accelerate justice, protect truth, and save lives. You will advance the state-of-the-art in CVML and multimodal technology and apply your research findings to create new responsible AI capabilities for Axon products. You will collaborate with product managers, engineers and cross-functional teams to train models and develop cutting-edge algorithms and solutions that enable intelligent perception and understanding of visual data. 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. 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. What You’ll Do Reports to: Director of AI Research 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. Collaborate with other scientists, engineers and product managers to build proof-of-concepts to shape the Axon of tomorrow. Lead end-to-end research efforts in advanced computer vision, machine learning and gen-AI techniques for cloud and devices from multimodal data sources, including scene understanding, action recognition and anomaly detection. Design and implement responsible, privacy-preserving, efficient and scalable models for inference and analysis of visual data. Develop performance and quality metrics for CVML models and systems, and validate their effectiveness in real-world settings. Optimize algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices. Stay up-to-date with the latest research and advances in CVML and translate relevant findings into shipping Axon products. Contribute to academic publications, technical documentation, and patent disclosures to share insights and findings with the broader community. Coach and mentor junior scientists. What You Bring PhD and 3+ years experience in Computer Science or a related field with a focus on computer vision, machine learning, artificial intelligence or related technical fields. Proven track record of research in machine learning, computer vision or related fields. Experience driving the ML development lifecycle and leveraging state-of-the-art research to deliver high quality models at scale. Strong computer vision fundamentals such as image processing, feature extractions, object detection, semantic segmentation, video analysis or action recognition. Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment. Proficiency in Python and frameworks such as PyTorch, TensorFlow or Keras. Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences. Experience in developing computer vision algorithms for resource-constrained edge devices or embedded systems preferred but optional. 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 #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 $159,750 - $255,600 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

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