Applied Scientist, Customer360
Core
Build real-time contextual intelligence systems using LLMs and semantic retrieval to personalize Amazon customer experiences.
Role type
Senior Applied Scientist (Generative AI & Information Retrieval)
Builds
Low-latency production systems for customer context synthesis
Domain
E-commerce, Generative AI, Information Retrieval
Deliverable
production ML models
Required skills
LLM fine-tuning, semantic retrieval, experimental design, statistical analysis, algorithm design, distributed computing, Java/C++/Python
Preferred skills
Unix/Linux, professional software development
Technologies
LLMs, embedding models, Java, C++, Python
Responsibilities
Invent approaches to contextual retrieval and LLM-based summarization; Fine-tune and evaluate language models; Design experiments measuring real customer impact; Ship production systems; Collaborate with Alexa, Search, and Recommendations teams; Mentor team members and shape technical roadmap
Seniority
Senior, hands-on IC with mentorship