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 information retrieval, natural language processing and generative AI.
What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research in 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.

ABOUT THE ROLE

Lead Applied Scientists are experts in Machine Learning / NLP, responsible for the design and delivery of AI solutions that enhance Thomson Reuters’ products. They leverage information retrieval techniques, prompting 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-depth knowledge of customer problems and data
• Maintain scientific and technical expertise in one or more relevant areas as demonstrated through product deliverables, published research, and intellectual property.
• Mentor and coach other scientists and engineers on best practices
• Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, or KDD.

You’re a fit for the role of Lead Applied Scientist if your background includes:

• PhD in a relevant discipline or Master’s plus a comparable level of experience
• 7+ years of hands-on experience building IR / NLP systems for commercial applications
• Experience writing production code and ensuring well-managed software delivery
• Demonstrable experience translating complex problems into successful AI applications
• Professional experience scaling yourself and leading through others, in an applied research setting
• Outstanding communication, problem solving, and analysis skills
• Collaborating with Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedbac