About the position
Are you excited to help customers discover the hottest and best reviewed products? The Discovery Tech organization helps customers discover and engage with new, popular and relevant products across Amazon worldwide. We do this by combining technology, science, and innovation to build new customer-facing features and experiences. You will join the Recommendations team, and will be responsible for creating and building critical services that automatically generate, in real time, personalized product recommendations presented to Amazon customers worldwide. You will leverage machine-learning and statistical models to deliver the best possible shopping experience. We are looking for analytical problem solvers who enjoy diving into data, excited about data science and statistics, can multi-task, and can credibly interface between engineering teams and business stakeholders. Your analytical abilities, business understanding, and technical savvy will be used to identify specific and actionable opportunities to solve existing business problems and look around corners for future opportunities. Your domain spans the design, development, testing, and deployment of data-driven and highly scalable machine learning solutions in product recommendation. As an Applied Scientist, you bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.
Requirements
- PhD in math/statistics/engineering or other equivalent quantitative discipline
- Experience programming or scripting language like Python, Java, C or C++
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow
Nice-to-haves
- Experience in solving business problems through machine learning, data mining and statistical algorithms
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
Benefits
- Equity
- Sign-on payments
- Full range of medical benefits
- Financial benefits
