Are you a passionate scientist in the computer vision area who is aspired to apply your skills to bring value to millions of customers? You will be part of a team committed to pushing the frontier of computer vision and machine learning technology to deliver the best experience for our neighbors. This position requires experience with developing Multi-modal LLMs and Vision Language Models.

You will collaborate with different Amazon teams to make informed decisions on the best practices in machine learning to build highly-optimized integrated hardware and software platforms. Participate in the design, development, evaluation, deployment and updating of data-driven models for computer vision applications. Research and implement the state-of-the-art computer vision and Vision Language models algorithms.

Collaborate 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 on the selection of technology, data sources, algorithms, and sensors. PhD,



or Master's degree and 4+ years of CS, CE, ML or related field experience Experience building machine learning models or developing algorithms for business application Experience programming in Java, C++, Python or related language PhD or equivalent research experience, or a Master's degree and experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms Experience creating and delivering written and oral communications for technical and non-technical audiences Experience in Vision Language Models and LLMs Amazon is an equal chance employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. #

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