Lead Applied Scientist (NLP/ML/GenAI)

Replacement: This position is open due to an existing vacancy to support our evolving business needs.

 

 

Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in Toronto is seeking scientists with a passion for solving problems using state-of-the-art generative AI, information retrieval, natural language processing.  

What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research in generative AI, informational retrieval, natural language processing and machine learning. We work closely with product and domain experts to identify compelling solutions at the intersection of user needs and technical feasibility. Our team is responsible for designing the next generation of tax, accounting and audit compliance software for Tax Professionals and Corporates in the US, and across the global markets. We own AI innovation for Thomson Reuters’ core tax products, including CoCounsel for Tax, Checkpoint Edge, Cloud Audit Suite, SurePrep and ONESOURCE. Our notable recent agentic AI product launches include Ready to Advise and Ready to Review.  

 

About the Role: 
 
Lead Applied Scientists are experts in Generative AI (LLM agents), Machine Learning, and NLP, responsible for the design and delivery of AI solutions that enhance Thomson Reuters' products. They leverage information retrieval techniques, agentic workflows, model training and evaluation design to build and optimize solutions. Their work ensures AI technologies are effectively aligned with business objectives, driving product innovation and value. 

  
As a Lead Applied Scientist, you will:  

• Innovate and drive solution delivery as a technical leader 

• Be fully accountable for all research deliverables 

• Provide input to the business and Labs leadership on long term AI strategy. 

• Lead and drive stakeholder engagement with other functions (UX, Product, Tech) 

• Develop in-