Axon Senior Computer Vision and Machine Learning Research Scientist at Axon developing AI solutions for public safety and enterprise domains. Lead research in CVML and gen-AI techniques for multimodal data to create responsible AI capabilities.
Responsibilities
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.
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.
