【Class of 2028／Full-Time】Applied Scientists , Amazon International Stores, Amazon Japan Store Tech
Core
Develop novel machine learning models and algorithms to improve product discovery, search relevance, and personalization for Amazon's cross-border shopping experience across Japan and global marketplaces.
Role type
Applied Scientist Intern (Machine Learning/GenAI)
Builds
Customer-facing product features (search, discovery, personalization) and internal development tools powered by GenAI/LLMs
Domain
E-commerce, Machine Learning, Generative AI
Deliverable
production ML models
Required skills
Python, Java, C++, machine learning, deep learning, NLP, information retrieval, statistics, data structures, algorithms, mathematical modeling
Preferred skills
PyTorch, TensorFlow, JAX, large language models, RAG, A/B testing, causal inference, cloud computing (AWS), top-tier research publications
Technologies
Python, Java, C++, PyTorch, TensorFlow, JAX, AWS
Responsibilities
Design and run experiments on live traffic to validate hypotheses; analyze large-scale datasets to inform model design; develop scalable ML models for product discovery and personalization; contribute to GenAI/LLM systems; write production-quality code; communicate research findings via documentation and presentations
Seniority
Intern (Class of 2028)