Class of 2028Full-TimeApplied Scientists , Amazon International Stores, Amazon Japan Store Tech

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

Amazons 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.

Were 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 Intern youll develop novel models and algorithms design and run experiments on live traffic and own meaningful science contributions end-to-end. Youll 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.

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.

- Currently enrolled in a Bachelor or Master program in Computer Science Machine Learning Statistics Applied Mathematics Electrical Engineering or a related quantitative field.
- Programming experience in one or more of: Python Java C or equivalent.
- Coursework or research experience in one or more of: machine learning deep learning NLP information retrieval computer vision statistics or optimization.
- Strong foundation in data structures algorithms and mathematical/statistical modeling.
- Expected to graduate in 2028 and able to start from either April 1st or October 1st in 2028.

- Publications or submitted papers in top-tier venues (e.g. NeurIPS ICML ACL EMNLP CVPR KDD WWW RecSys SIGIR).
- Hands-on experience building and deploying ML models on large-scale datasets.
- Experience with deep learning frameworks (e.g. PyTorch TensorFlow JAX).
- Familiarity with large language models generative AI or retrieval-augmented generation (RAG).
- Experience designing and analyzing A/B tests or causal inference experiments.
- Strong written and verbal communication skills; ability to present complex technical ideas clearly.
- Experience with cloud computing platforms (e.g. AWS).
- Proficiency in Japanese is a plus but not required; English fluency is required.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.