thomsonreuters
The role focuses on building and deploying production-grade search systems for legal and professional content, covering neural information retrieval, semantic and hybrid search, re‑ranking, and query understanding. The scientist will design end‑to‑end neural search pipelines, develop models, create evaluation frameworks, and collaborate with engineering to deliver scalable, high‑quality search solutions.
Thomson Reuters is a global provider of trusted information, data and technology that helps professionals make confident decisions across legal, tax, accounting, risk, compliance, and news organizations. Guided by the tagline "Clarifying the Complex," it combines industry-leading editorial and proprietary content with analytics and workflow software to streamline research, regulatory compliance, and business processes. Enterprises, law firms, financial institutions and governments rely on its platforms and services for accurate data, expert insights and integrated tools that increase productivity and reduce risk.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for thomsonreuters.
14% above the average for this role
Applied Scientist, NLP/IR/GenAI
Thomson Reuters
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