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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Computer Vision and Machine Learning Research Scientist - **Company:** Amazon.com, Inc. - **Location:** Seattle, WA, United States (Remote available) - **Experience:** Expert - **Salary:** $131,082.0 - $196,766.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Vision, Bioinformatics, Instant Messaging Technology, Python (Programming Language), Machine Learning, Object Detection, Tensorflow, Phishing, Pytorch, Keras, Information Technology - **Published:** August 16, 2026 - **Apply:** https://www.careerjet.com/job/us5328076cee71bc1ec1d5c4a40c408d82/eaa ## About the Role * 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. ## Description 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., 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 or via our . For more information, please see the Your California Privacy Rights section of our 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 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 . 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 . ## Related Videos - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Machine Learning for Software Developers (and Knitters)](https://www.wearedevelopers.com/videos/154-machine-learning-for-software-developers-and-knitters) - [Passkeys: Truly Phishing-Resistant? Implementation and Pitfalls](https://www.wearedevelopers.com/videos/100156-passkeys-truly-phishing-resistant-implementation-and-pitfalls) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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