Description Join 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 responsibilities Invent: - Design and develop novel machine learning models and algorithms to solve ambiguous customer problems where textbook solutions don't exist - Extend state-of-the-art scientific techniques and invent new approaches driven by customer needs at the project level - Produce internal research reports with the rigor of top-tier publications, documenting scientific findings and methodologies - Stay current with academic literature and research trends, applying latest techniques when appropriate Implement: - Write production-quality code that meets or exceeds SDE I standards, ensuring solutions are testable, maintainable, and scalable - Deploy components directly into production systems supporting large-scale applications and services - Optimize algorithm and model performance through rigorous testing and iterative improvements - Document design decisions and implementation details to enable reproducibility and knowledge transfer - Contribute to operational excellence by analyzing performance gaps and proposing solutions Influence: - Collaborate with cross-functional teams to translate business goals into scientific problems and metrics - Mentor junior scientists and help new teammates understand customer needs and technical solutions - Present findings and recommendations to both technical and non-technical stakeholders - Contribute to team roadmaps, priorities, and strategic planning discussions - Participate in hiring and interviewing to build world-class science teams Basic Qualifications - PhD, or a Master's degree and experience in CS, CE, ML or related field - Experience in building models for business application - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications - Experience using Unix/Linux - Experience in professional software development - Experience in investigating, designing, prototyping, and delivering new and innovative system solutions Amazon 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 ( https://www.amazon.jobs/en/privacy\_page ) 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.