Applied Scientist I

Are you passionate about solving complex problems with machine learning and scientific rigor? As an Applied Scientist I at Amazon, you will translate real-world business challenges into well-defined scientific problems and build solutions that directly benefit customers. You will work alongside experienced scientists and engineers, applying your expertise in areas such as natural language processing, computer vision, or robotics to design experiments, develop models, and deliver production-ready code. This is a role where your curiosity and technical depth will drive meaningful impact from day one. Key job responsibilities - Design, develop, and implement machine learning models and algorithms to solve well-defined business problems, mapping business goals and metrics to scientific approaches and evaluation criteria. - Write secure, stable, testable, and maintainable production code, applying state-of-the-art data structures and algorithms while following software development best practices at a high quality bar. - Conduct rigorous experiments to evaluate model performance, benchmark results against current research, and iterate on solutions to improve accuracy and customer outcomes. - Collaborate with team members to scope technical approaches, communicate findings through internal research reports, and contribute to peer-reviewed publications when aligned with business needs. - Stay current with research trends in your area of expertise, champion the adoption of recent scientific advancements, and help onboard and mentor scientist interns. A day in the life You might start your morning reviewing experiment results from a model you trained, analyzing performance metrics and identifying areas for improvement. After a design discussion with your team, you refine your approach and push updated code for review. In the afternoon, you read a recent research paper recommended by a senior scientist, exploring whether a new technique could improve your current solution. You wrap up by documenting your methodology so teammates can understand and build on your work. About the team Our team is focused on applying scientific methods and machine learning to solve problems that matter to Amazon's customers. We value rigorous experimentation, clear communication, and a collaborative environment where scientists at every stage of their career can grow. We are building toward solutions that push the boundaries of what is possible, and we are looking for curious, thoughtful scientists who want to contribute to that mission and learn alongside a supportive group of peers. - Experience programming in Java, C++, Python or related language - Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse - Experience implementing algorithms using both toolkits and self-developed code - Have publications at top-tier peer-reviewed conferences or journals