Staff Software Engineer - Search Platform
Leads the development of ML- and NLP-powered search relevance systems, including query understanding, ranking, retrieval, and evaluation. Requires 10+ years of search relevance experience and a bachelor’s degree, with advanced study preferred.
About the job
Responsibilities
- Lead development and deployment of machine-learning-based search and discovery relevance models and systems integrated with Databricks products and services.
- Design and implement automated machine learning and natural language processing pipelines for data preprocessing, query understanding and rewriting, ranking and retrieval, and model evaluation.
- Collaborate with product managers and cross-functional teams on technology initiatives and product roadmaps for the search and discovery experience.
- Build robust frameworks to evaluate search-ranking improvements offline and online.
Requirements
- Bachelor's degree or higher in Computer Science or a related field; a master's degree or PhD is preferred.
- 10+ years of experience developing search relevance systems at scale in production or high-impact research environments.
- Experience applying large language models to search relevance.
- Experience with one or more of query understanding, natural language processing, text mining, recommendations, personalization, discovery, or conversational AI.
- Strong computer science fundamentals.
- Contributions to well-used open-source projects.
Skills
Machine Learning, Natural Language Processing, LLMs, Search Relevance, Query Understanding, Information Retrieval, Text Mining, Recommendations, Personalization, Conversational AI, Model Evaluation, Open Source
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