Applied Scientist, Ring AI

Are you a dedicated scientist in the field of computer vision, eager to utilize your skills to bring value to millions of customers? At Ring, we offer a unique opportunity to innovate and see the direct impact of our work on millions of lives, making communities safer. You will join a team dedicated to pushing the boundaries of computer vision and machine learning technologies to provide the best experience for our users. This is a unique opportunity for you to innovate in this area by creating highly optimized algorithms that can operate on a massive scale. This role requires experience in developing efficient computer vision algorithms on resource-limited computing platforms at the edge. You will collaborate with different Amazon teams to make informed decisions on best practices in machine learning to build highly optimized integrated hardware and software platforms. Key job responsibilities: * Research and implement the latest computer vision and sensor fusion algorithms for resource-restricted computing platforms on a large scale. * Work together with product managers and engineering teams to design and implement computer vision and machine learning-based features for Ring devices. * Influence system design and product vision by making informed decisions regarding the selection of technology, data sources, algorithms, and sensors. We are open to hiring candidates to work from the following locations: Amsterdam, NLD Basic Qualifications: - 2+ years of experience working on deep learning-based computer vision algorithms and sensor fusion. - 2+ years in one or more of the following areas: (1) deep learning models architecture design, training, optimization, and model pruning, (2) geometric based computer vision such as multi-view fusion/calibration, (3) developing multi-sensor fusion algorithms. Preferred Qualifications: - Proven track record of innovation in creating novel algorithms and advancing the state-of-the-art. - Experience in prototyping, designing, implementing, and deploying large-scale computer vision applications and tools. Amazon is an equal opportunity employer. We passionately believe that a diverse workforce is vital to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build. Protecting your privacy and the security of your data has always been Amazon's top priority. Please refer to our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to learn more about how we collect, use, and transfer personal data from our candidates.