Applied Scientist, Amazon Selection Discovery
Il y a 8 mois
PhD, or a Master's degree and experience in CS, CE, ML or related field
- 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 looking for a passionate, talented, and inventive applied scientist to join the EU Selection Discovery team. As an applied scientist, you will invent, build and deploy state of the art machine-learning models and systems to enable and enhance the team's mission—real world incarnations of some of the most difficult academic problems.
Key job responsibilities
- Work on research projects in machine learning and related fields to create highly innovative customer experiences;
- Analyze large amounts of data to discover patterns, find opportunities, and develop highly innovative, scalable algorithms to seize these opportunities;
- Validate models via statistically rigorous experiments across millions of customers;
- Work closely with software engineering teams to build scalable prototypes for testing, and integrate successful models and algorithms in production systems at very large scale;
- Work side by side with fellow applied scientists and software engineers in the team.
Luxembourg, LUX
- Experience using Unix/Linux
- Experience in professional software development
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