Senior Member of Technical Staff
eBay · San Jose, CA · 1 wk ago
On-siteEngineering$218k–$291k/yrFull-time
About the role
Ebay is seeking a Senior Member of Technical Staff, Applied Research to lead the development of conversational search and natural language query features. This role will involve hands-on work in applied research, quick prototyping, production deployment, and collaboration with engineering and product teams.
Responsibilities
- Build, prototype, and productionize solutions for conversational search and natural language query understanding
- Aid 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 and evaluate 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
- Raise the technical bar through hands-on implementation, code reviews, build discussions, and cross-team collaboration
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related technical area, or equivalent hands-on experience
- 8+ years of experience in applied research, machine learning, search, NLP, or related engineering roles
- Strong hands-on experience building and shipping production-quality ML, NLP, or search systems
- Deep expertise in one or more of the following areas: 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