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Key job responsibilities
* Map business requirements and customer needs to a scientific problem.
* Align the research direction to business requirements and make the right judgments on research/development schedule and prioritization.
* Research, design and implement scalable machine learning (ML) techniques to solve problems that matter to our customers in an iterative fashion.
* Design, experiment and evaluate highly innovative models for predictive, explainable learning
* Partner with other scientists to build state-of-the-art ML systems powering Amazon
* Work closely with software engineering teams to drive real-time model experiments, implementations and new feature creations
* Stay informed on the latest machine learning, natural language and/or artificial intelligence trends and make presentations to the larger engineering and applied science communities.
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- PhD
- 2+ years of CS, CE, ML or related field experience
- Have publications at top-tier peer-reviewed conferences or journals
- Proven track record of successfully applying ML-based solutions to complex problems in business, science, or engineering.
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