Applied Scientist (2026-27 Campus, International Technology Team), Shanghai
Core
Research and apply NLP, IR, and LLM technologies to solve search understanding, relevance ranking, and conversational shopping problems for Amazon customers.
Role type
Applied Scientist (Search & Recommendation)
Builds
Search and recommendation systems serving global Amazon customers
Domain
E-commerce, Search, Natural Language Processing, Generative AI
Deliverable
production ML models
Required skills
Machine learning, Deep learning, NLP, Information Retrieval, LLMs, Statistical analysis, Python, Java, C++, Experimental design
Preferred skills
Transformer/LLM pretraining and fine-tuning, RAG, Vector retrieval, Semantic matching, Agent systems, PyTorch, TensorFlow, Hugging Face, Search engine experience, LLM evaluation, Distributed training
Technologies
PyTorch, TensorFlow, Hugging Face Transformers, RAG, LLMs
Responsibilities
Design and implement ML/NLP/LLM solutions for search problems; Train, fine-tune, and evaluate models on large-scale data; Explore foundation model applications in search and recommendation; Design evaluation metrics and validate via offline experiments and A/B tests; Collaborate with engineering to deploy prototypes to production; Track academic/industry advances and share research.
Seniority
Entry-level (2026-2027 Graduates)