Hiring: Senior Member of Technical Staff Company: eBay Location: San Jose, CA Job Posted Time: 2026-09-11 14:50:24 Employment Type: Remote Target Skills & Keywords : LLM, Large Language Model, Machine Learning, NLP About the job Experience: •8+ years of experience in applied research, machine learning, search, NLP, or related engineering roles Required Skills: •Based in San Jose, the role partners with applied research, search engineering, product, and platform teams to improve discovery foundations and foster richer conversational experiences. •Build, prototype, and productionize solutions for conversational search and natural language query understanding •Assist in updating the search stack across query understanding, retrieval, ranking, and response generation layers •Develop methods for intent understanding, query rewriting, semantic retrieval, result grounding, and multi-turn refinement •Partner with science and engineering teams to integrate data-informed approaches into production systems with strong latency, quality, and reliability characteristics •Build and evaluate NLQ solutions that help buyers express complex shopping needs more naturally and get more relevant outcomes •Build offline and online evaluation frameworks for conversational quality, retrieval efficiency, relevance, and customer impact •Contribute technical depth on model selection, timely and system build, experimentation, and measurement Qualifications: •Bachelor’s degree in Computer Science, Engineering, or a related technical area, or equivalent hands-on experience •Strong hands-on experience building and shipping production-quality ML, NLP, or search systems •Dialogue-based search and information retrieval •NLP, intent understanding, semantic parsing, or query reformulation •Large language model applications for search, assistance, or question answering •Ranking, retrieval, embeddings, or relevance optimization •Strong coding and system development skills, with the ability to independently drive complex technical work from concept through production •Demonstrated ability to evaluate technical tradeoffs across quality, latency, scalability, and maintainability •Advanced degree such as an MS or PhD in Computer Science, Machine Learning, NLP, Information Retrieval, or a related field, or equivalent experience •Track record of translating research ideas into product impact through experimentation and iterative deployment Compensation: •$217,600 - $290,500 / year •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!