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Leading the design and development of large-scale search and information retrieval systems, the full-time remote Lead Applied Scientist, Search will manage indexing, ranking, and retrieval processes to enhance legal, tax, and accounting content delivery.
Key Responsibilities: Design and deploy search architectures for large-scale content collections Build and optimize ingestion pipelines for document retrieval Develop ranking systems using both traditional and modern techniques to improve retrieval qualityRequired Qualifications: PhD in Computer Science, Information Retrieval, AI, Machine Learning, NLP, or a related field preferred 8+ years of experience in building production search and retrieval systems Publications in recognized venues such as SIGIR, ACL, or NeurIPS Strong Python skills with experience in PyTorch and distributed model development Expertise in search engine architecture and ranking systems

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Level

Lead L6

Location

New York, NY

Occupation

Computer and Information Research Scientists

Industry

Web Search Portals and All Other Information Services

Posted

3 days ago

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