Software Dev Engineer, Core Search NLP Document Enhancement

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, advanced language models and Document Understanding features, to enhance the search experience and UX.

We are looking for highly motivated software engineer 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 Software Development Engineer 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.

Key job responsibilities
• Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market.
• Design and build innovative technologies in a large distributed computing environment, and help lead fundamental changes in the industry.
• Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.
• Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.
• Ability to design and code the right solutions starting with broadly defined problems.
• Work in an agile environment to deliver high-quality software.

A day in the life
Come teach us a few things, and we’ll teach you a few things as we navigate the most customer-centric company on Earth.

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, to improve search relevance and related experiences for customers. We work on a variety of domains, including Inference and GPU efficiency projects, Navigation experiences related to search, and own the Infrastructure that powers refinement selection, supported through the Document Understanding pipeline. We use advanced AI capabilities.

Basic Qualifications

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

Preferred Qualifications

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing

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