Applied Scientist

Applied Scientist - AI/ML, Decision Intelligence teamJoin our team as an Applied Scientist II where you'll develop innovative machine learning solutions that directly impact millions of customers.You'll work on ambiguous problems where neither the problem nor solution is well-defined, inventing novel scientific approaches to address customer needs at the project level.This role combines deep scientific expertise with hands-on implementation to deliver production-ready solutions that drive measurable business outcomes.Key Job ResponsibilitiesInvent:Design and develop novel machine learning models and algorithms to solve ambiguous customer problems where textbook solutions don't existExtend state-of-the-art scientific techniques and invent new approaches driven by customer needs at the project levelProduce internal research reports with the rigor of top-tier publications, documenting scientific findings and methodologiesStay current with academic literature and research trends, applying latest techniques when appropriateImplement:Write production-quality code that meets or exceeds SDE I standards, ensuring solutions are testable, maintainable, and scalableDeploy components directly into production systems supporting large-scale applications and servicesOptimize algorithm and model performance through rigorous testing and iterative improvementsDocument design decisions and implementation details to enable reproducibility and knowledge transferContribute to operational excellence by analyzing performance gaps and proposing solutionsInfluence:Collaborate with cross-functional teams to translate business goals into scientific problems and metricsMentor junior scientists and help new teammates understand customer needs and technical solutionsPresent findings and recommendations to both technical and non-technical stakeholdersContribute to team roadmaps, priorities, and strategic planning discussionsParticipate in hiring and interviewing to build world-class science teamsBasic QualificationsPhD, or a Master's degree and experience in CS, CE, ML or related fieldExperience programming in Java, C++, Python or related languageExperience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingPreferred QualificationsExperience using Unix/LinuxExperience in professional software developmentExperience in investigating, designing, prototyping, and delivering new and innovative system solutionsAmazon is an equal opportunities employer.We believe passionately that employing a diverse workforce is central 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 is a longstanding top priority for Amazon.Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.Our inclusive culture empowers Amazonians to deliver the best results for our customers.If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information.If the country/region you're applying in isn't listed, please contact your Recruiting Partner.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Posted:November 18, **** (Updated about 1 month ago)Posted:June 25, **** (Updated 6 months ago)#J-*****-Ljbffr