Applied Scientist, Core Search NLP Document Enhancement Full-time

Amazon Search owns the global search engine for the Amazon shopping site. The Japan team improves the search engine and related systems with new data sources, cutting-edge language models and Document Understanding features, to enhance the search experience and UX.

We are looking for highly motivated applied scientists and engineers interested in delivering the next level of innovation to product search for Amazon. The position is based in the Amazon Japan Meguro (Tokyo) office.

As an Applied Scientist for Search, you will lead the design, implementation and delivery of search features on Amazon worldwide, helping millions of customers every day to find quickly what they are looking for, and to discover products they didn’t even know Amazon carried. Your improvements to the product search engine will include tailoring search for global marketplaces, using advanced techniques and tools to mine petabytes of data, and running experiments to detect important areas of improvement and measure success. You will be designing solutions, sometimes from the ground up, that scale to efficiently handle billions of queries and items each day. You will be working closely with international teams of bright and talented people all over the world, both in business and in technology. The models that you develop, supported by industrial scale development tools, integrates smoothly and efficiently into one of the largest code bases in the world and runs in data centers worldwide. By joining us, you will help to build up global development expertise in a team of engineers based in Tokyo working on solutions used locally, and worldwide.

Besides possessing knowledge and problem solving expertise in applied science discipline, you must be an innovative thinker and a strong communicator. Working in this position will involve collaborating with engineers and scientists in the US, Europe, and other places.

About the team

The Core Search NLP Document Enhancement (DocE) ‘s mission is to enhance and update the representations of products and related information in the Search index, via the use and understanding of new and existing data sources including third-party sources, to improve search relevance and related experiences for customers.

BASIC QUALIFICATIONS

– PhD, or Master’s degree and 5+ years of applied science experience

– Skilled in Python or alternative programming language.

– Experience in ML model productionization.

– Ability to manage and quantify improvement in customer experience or value for the business resulting from research outcomes

– Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to non-experts.

PREFERRED QUALIFICATIONS

– A PhD in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent) and 5+ years of experience working in data science in a consumer product company

– Practical experience in several of the following areas: machine learning, statistics, NLP, deep learning, recommendation systems, computer vision, information retrieval

– Publications in top-tiered academic conferences and journals.

– Knowledge of AWS products for MLOps

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