Senior Computer Vision and Machine Learning Research Scientist

Join Axon and be a Force for Good. At Axon, we’re on a mission to Protect Life. We pursue society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Life at Axon is fast‑paced, challenging, and meaningful. Here, you’ll take ownership and drive real change, constantly growing as you work hard for a mission that matters. 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. 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. 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 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 Snacks in our offices Base Pay Range: $159,750‑$255,600 USD 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. Equal Opportunity Employer 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. #J-18808-Ljbffr University of Georgia- FACS