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Key job responsibilities
- Use machine learning and analytical techniques to create scalable solutions for business problems
- Analyze and extract relevant information from large amounts of Amazon s historical business data to help automate and optimize key processes
- Design, develop, evaluate and deploy, innovative and highly scalable ML models
- Work closely with software engineering teams to drive real-time model implementations
- Work closely with business partners to identify problems and propose machine learning solutions
- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance
- Mentor other scientists and engineers in the use of ML techniques
- 5+ years of building models for business application experience
- PhD, or Masters 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
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
Job ID: 103717483