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thomsonreuters
The Lead Applied Scientist, Document Understanding will design and deploy advanced AI systems for semantic chunking, document enrichment, classification, information extraction, knowledge graph construction, and tabular data understanding across legal, tax, and accounting content. This role bridges research and production, delivering scalable, reliable document intelligence that powers downstream search, retrieval, and generative AI workflows for Thomson Reuters' legal AI platform.
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.
thomsonreuters didn’t post a salary, so this is our estimate from similar listings.
44% above the average for this role