[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Amazon jobs](https://jobs.opennash.com/companies/amazon/) · [Search jobs](/search/) Amazon · JP, Tokyo # 【Class of 2028／Full-Time】Applied Scientists, Amazon International Stores, Amazon Japan Store Tech JP, Tokyo Research & Science Listed on Amazon’s official careers site. Posted August 19, 2026. Check that it is still open and apply there. [Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10506482/class-of-2028-full-time-applied-scientists-amazon-international-stores-amazon-japan-store-tech) [OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / 【Class of 2028／Full-Time】Applied Scientists, Amazon International Stores, Amazon Japan Store Tech ## Job description Do you want to see your research directly impact how millions of customers discover, browse, and purchase products on Amazon — across Japan and the globe? Amazon's Japan Store Tech team owns the science and technology behind cross-border shopping — product discovery, search relevance, personalization, and content experiences spanning dozens of marketplaces. ### We tackle problems at massive scale multi-language signals, multi-marketplace data, and region-specific customer behaviors, all served at low latency to millions of daily shoppers. We're looking for current Bachelor or Master students with a passion for applied science and machine learning to join us as an Applied Scientist in 2028 to shape the future of customer experiences at scale. For this position, our Japan Store Tech team is looking for students with a specialization in one or more of the following research areas: machine learning, deep learning, natural language processing (NLP), information retrieval, recommender systems, computer vision, large language models (LLMs), generative AI, causal inference, experimentation and A/B testing, optimization, and more! As an Applied Scientist, you'll develop novel models and algorithms, design and run experiments on live traffic, and own meaningful science contributions end-to-end. You'll also leverage and contribute to GenAI/LLM systems that power both customer-facing experiences and internal development tools. If you want to kickstart your science career at global scale — solving real customer problems alongside talented scientists and engineers in a collaborative, international environment — this is the place to start. ### Selection Communication Begins October 5, 2026 ### Offer Extensions December 2026 – March 2027 ### Key job responsibilities - Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, develop, and deploy innovative machine learning models and scientific solutions that delight our customers, while participating in technical discussions to drive solutions forward. - Develop and implement scalable machine learning models and algorithms to improve product discovery, search relevance, personalization, or other customer-facing experiences. - Design and conduct experiments (offline and online) to validate hypotheses and measure the impact of proposed solutions. - Analyze large-scale datasets to identify patterns, generate insights, and inform model design decisions. - Leverage and contribute to the development of GenAI and LLM-powered tools to enhance customer experiences and development productivity while staying current with emerging technologies. - Write clean, maintainable, production-quality code following best practices. - Communicate research findings effectively through documentation, presentations, and technical papers. - Work in an agile environment and collaborate closely with software engineers to bring science solutions from prototype to production. ## At a glance - Posted by the employer: Aug 19, 2026 - First seen by OpenNash: Aug 20, 2026 - Last checked: Oct 18, 2026 - Listed for: 60 days - Location: JP, Tokyo[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10506482/class-of-2028-full-time-applied-scientists-amazon-international-stores-amazon-japan-store-tech) ## More jobs at Amazon ### [Sr. Product Research & Development Manager, Worldwide Grocery Stores, Private Brands, APAC](https://jobs.opennash.com/companies/amazon/jobs/2906cd1187548d46d879/) JP, Tokyo ### [【Class of 2029／Internship】Applied Scientists, Amazon International Stores, Amazon Japan Store Tech](https://jobs.opennash.com/companies/amazon/jobs/b53d364cc1848856bcd5/) JP, Tokyo ### [AVS Sr. Team Leader, Home Improvement, ハードライン事業本部 Home Improvement事業部](https://jobs.opennash.com/companies/amazon/jobs/baccb3fadb89f346175f/) JP, Tokyo ### [Account Executive, GGS （多様な広告主のマーケティング成果を最大化する広告営業スペシャリスト）, Global Growth Sales - Amazon Ads](https://jobs.opennash.com/companies/amazon/jobs/a838223e3c311501f2de/) JP, Tokyo ### [Associate Corporate Counsel, Japan Operations Legal](https://jobs.opennash.com/companies/amazon/jobs/a19d827eb16921722aac/) JP, Tokyo ## Similar jobs at other companies ### [国内新卒採用本選考 市場部門 フルタイム アナリスト (28卒) / Markets, Full-Time Analyst, Tokyo - Japan (Class of 2028)](https://jobs.opennash.com/companies/citigroup/jobs/f0ac94c9e7317c546683/) Citigroup · Chiyoda-ku Tokyo Japan ### [国内新卒採用本選考 調査本部 フルタイム アナリスト (28卒) / Research, Full-Time Analyst, Tokyo - Japan (Class of 2028)](https://jobs.opennash.com/companies/citigroup/jobs/1ddc0553fd9092e3f315/) Citigroup · Chiyoda-ku Tokyo Japan ### [Research & Development Leadership Development Program (RDLDP)- Full-Time Class of 2027](https://jobs.opennash.com/companies/johnson-johnson/jobs/95dd68e7dd0890f6fab4/) Johnson & Johnson ### [Class 1 Delivery Driver - Full-Time](https://jobs.opennash.com/companies/pepsico/jobs/fe15252249eee5ded9e4/) PepsiCo · Dartmouth, Canada ### [Class 1 Delivery Driver - Full-Time](https://jobs.opennash.com/companies/pepsico/jobs/a1fa2d70959988ed8120/) PepsiCo · New Glasgow, Canada OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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