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, to lead a team of high performing ML scientists and research engineers. 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 and natural language processing. We work closely with product and domain experts to identify compelling solutions at the intersection of user need 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 UltraTax, Cloud Audit Suit, SurePrep and ONESOURCE. We work with the latest LLM prompting and agentic AI approaches to build cutting edge products. About the role In this opportunity as Manager, Applied Research you will: Manage: Direct the efforts of a team of Applied Scientists and Research Engineers, ensuring a high-performance culture. Nurture your team's career development and manage performance expectations through servant leadership and active coaching. Lead and Inspire: Build, mentor, and grow a high-performing team of applied scientists Drive Research to Production: Translate state-of-the-art AI research into scalable, production-ready solutions. Shape Strategy: Partner with Product and Engineering leaders to define and execute the AI-driven product roadmap. Ensure Operational Excellence: Oversee scaling of experiment and LLMOps platforms, balancing reusability and innovation Champion Innovation: Explore emerging technologies, foster experimentation, and share impact and ideas to both technical and non-technical audiences. About you You're a fit for the role of Manager, Applied Research if your background includes:
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Job Type
Full-time
Career Level
Manager
Industry
Publishing Industries
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees