Description Amazon is looking for talented Postdoctoral Scientists to join our Corporate Projects team for a one-year, full-time research position. Corporate Projects is a team that sits within the broader Corporate Development organization at Amazon. We seek to bring net-new, strategic projects to life by working together with customers and evolving projects from ZERO-to-ONE. To do so, we deploy our resources towards proofs-of-concept and pilot programs and develop them from high-level ideas (the ZERO) to tangible short-term results that provide validating signal and a path to scale (the ONE). We work with our customers to develop and create net-new opportunities by relentlessly scouring all of Amazon and finding new and innovative ways to strengthen and/or accelerate the Amazon Flywheel. Key job responsibilities This Postdoc will work with a talented team of hardware experts to build and perfect the teleoperations interface and robotics hardware. The team will continuously develop and test the interface so that it evolves to be able to support the entire program. It is critical to have previous experience building and delivering a complete mechanical design that is fully-functional and capable of standing on its own. The end result should be an exceptional mechanical design that can cross-over and spans multiple disciplines. Video links and/or submissions (e.g. YouTube) of mechanical design projects are strongly encouraged. * Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s vibrant and diverse global science community. * Publish your innovation in top-tier academic venues and hone your presentation skills. * Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise. Basic Qualifications * PhD in a relevant field, received within 2 years of starting the program * Proven publication record in Operations Research, Machine Learning, Robotics, Computer Vision, AI, Computer Science, Economics, or other related technical fields * Experience in data science and quantitative research * Proficiency in technologies relevant to the subfield Required application materials: * CV, which lists all peer-reviewed publications and conferences * Research statement that outlines your research achievements and future research interests * A journal article or book chapter that demonstrates your domain expertise Preferred Qualifications * Ability to independently deliver results in a fast-paced environment * Publications at top-tier, peer-reviewed conferences and/or journals * Exceptional verbal and written communication skills * Expert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.