Applied Scientist, Global Standards & Customer ...
DescriptionApplied Scientist II - Global Standards & Customer ExcellenceAt Amazon's Global Standards & Customer Excellence team, we're dedicated to creating standardized processes that ensure exceptional customer experiences across diverse markets worldwide. As an Applied Scientist II, you'll be at the forefront of innovation, using machine learning and AI models to revolutionize how we optimize our operations and maintain consistency at scale. Your expertise in both machine learning and software engineering will be crucial as you develop and integrate AI/ML models into production-ready applications, transforming theoretical models into practical, scalable software solutions. We're looking for someone capable of not only designing sophisticated ML models but also implementing them as robust, maintainable code that meets our high standards for production systems. You'll tackle complex technical challenges while contributing to solutions that directly impact customer satisfaction globally. If you're passionate about solving intricate problems, turning ML models into production-ready applications, and working in a culture that values both operational excellence and customer obsession, we invite you to join our team and help shape the future of global standards in customer excellence.Key job responsibilities
- Design and develop novel ML/AI approaches and algorithms to solve complex business problems, leveraging deep knowledge in at least one computer science discipline
- Write production-quality code (meeting SDE I standards) to implement ML/AI solutions that are efficient, reproducible, and testable
- Deploy and maintain ML/AI models in production systems, ensuring operational excellence and efficient resource usage
- Analyze performance of methods and models, iteratively improving them based on quantitative metrics and customer feedback
- Document algorithms, design choices, and technical implementations thoroughly to enable knowledge sharing and reproducibility
- Work semi-autonomously on projects while making appropriate technical tradeoffs between business requirements and implementation constraints
- Contribute to team's strategic planning including goals, priorities, and technical roadmaps
- Publish research findings in internal reports and external peer-reviewed venues when aligned with business needs
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 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
- Experience using Unix/Linux
- Experience in professional software development