【Class of 2028／Full-Time】Applied 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?Amazon's Japan Store Tech team owns the science Basic qualifications: - 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. Preferred: - 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.