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As a member of the Amazon Interest team, you will be working on identifying customers unique hobbies and interests, like running, biking, gardening, etc. and build an alternate structure to existing product catalog around these interests. You would then use this structured data to create new immersive shopping experiences that customers would love. You would be expected to move fast, have good judgment on what is and what is not worth exploring, create simple and scalable solutions and identify correct problem sets. You will be surrounded by thought-leaders in the Personalization space who are patent-leaders within Amazon. You will keep the team up-to date with latest academic research in relevant fields.Key job responsibilities
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 4+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learningA day in the lifeAbout our organization
- 2+ 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 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 in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
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