Job summaryJob summaryJoin us in a historic endeavor to make Computer Vision accessible to the world with breakthrough research! The AWS AI Labs Computer Vision team has a world-leading team of researchers and academics. We develop the algorithms and models that power AWS computer vision services, such as Amazon Rekognition, Amazon Textract, and Amazon Lookout for Vision, and we conduct and publish long-term research in broad areas of computer vision.We are looking for Principal Scientists to join us and make the AI revolution happen through innovative research inspired by customer needs. A Principal Scientist in AWS AI Labs is a hands-on contributor, who identifies and shapes directions for forward-looking research and develop innovative solutions to hard, previously unsolved customer problems. You will partner with senior managers and Directors and guide the research of individual scientists. You will work closely with engineering teams to define the architectures and solutions that transform computer vision algorithms to services operating at AWS scale. You are expected to lead new areas of research and publish your research results at peer reviewed conferences and workshops.AWS, the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems which will give scientists endless opportunities to see their research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world.Our research themes include, but are not limited to: few-shot learning, transfer learning, unsupervised and semi-supervised methods, multimodal learning, semi-automated data annotation, large scale image and video recognition, face detection and recognition, document OCR and scene text recognition, document understanding, and geometric computer vision.We are currently located in the US (Seattle, Pasadena, and Bay Area) and Israel (Haifa and Tel Aviv). We are open to candidates interested in working either virtually or remotely from another Amazon location. Additional locations include San Diego and New York City.About Us Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.