As a Staff AI Engineer (Search/AI), you will lead the design, development, and optimization of intelligent search systems that leverage machine learning at their core. You're responsible for building end-to-end retrieval pipelines that incorporate advanced techniques in query understanding, ranking, and entity recognition.
Key responsibilities include:
- Lead the development of advanced query understanding systems that parse natural language, resolve ambiguity, and infer user intent
- Design and deploy learning-to-rank models that optimize relevance using behavioral signals, embeddings, and structured feedback
- Build and scale robust entity recognition pipelines that enhance document understanding, enable contextual disambiguation, and support entity-aware retrieval
- Architect next-gen search infrastructure capable of supporting highly dynamic document corpora and real-time indexing
- Create and maintain graph-based knowledge systems that enhance LLM capabilities through structured relationship data
- Drive improvements in query rewriting, intent classification, and semantic search, using both statistical and neural methods
- Own the design of evaluation frameworks for offline/online relevance testing, A/B experimentation, and continual model tuning
- Collaborate with product and applied research teams to translate user needs into data-informed search innovations
- Produce clean, scalable code and influence system architecture and roadmap across the relevance and platform stack