Senior Member of Technical Staff
Core
Update the search stack and develop new conversational search and natural language query features to improve how users convey shopping intent.
Role type
Senior IC applied research engineer (NLP/LLM/Search)
Builds
Scalable conversational search systems, NLQ solutions, and production search stack components
Domain
Ecommerce, Search, Natural Language Processing, Large Language Models
Deliverable
production ML models | product features
Required skills
Applied research, machine learning, search engineering, NLP, intent understanding, semantic parsing, query reformulation, LLM applications, ranking, retrieval, embeddings, relevance optimization, system development, latency optimization, scalability design
Preferred skills
Modernizing search/discovery systems in ecommerce, conversational interfaces, LLM-powered product experiences, translating research to product impact
Technologies
LLMs, NLP frameworks, Search stacks, Embedding models
Responsibilities
Build and productionize conversational search and NLQ solutions; Update search stack layers (query understanding, retrieval, ranking, response generation); Develop methods for intent understanding and semantic retrieval; Partner with teams to integrate data-informed approaches into production; Build evaluation frameworks for conversational quality and relevance; Contribute to model selection, system build, and experimentation
Seniority
Senior, hands-on IC
