This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization. Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in Canada is seeking scientists with a passion for solving problems using state-of-the-art natural language processing, information retrieval, 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 natural language processing and informational retrieval. We innovate collaboratively with product and domain experts to identify compelling solutions at the intersection of user needs and technical feasibility. Our team in Labs Legal Tech is designing the next generation of Legal Technology globally. We drive AI innovation for Thomson Reuters’ LegalTech Products and features, including CoCounsel Core , CoCounsel Drafting , Practical Law , HighQ , Legal Tracker , Document Intelligence , Contract Express , Due Diligence , and others . About the Role Lead Applied Scientists are experts in NLP / IR / ML / GenAI, 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 work with a cross functional team at the intersection of product, science, and engineering to: Lead an applied research team throughout the full product development life cycle from ideation and PoC through to production scaling and feedback driven iteration. Be fully accountable for all research deliverables in your projects, Lead and drive stakeholder engagement with other functions (Product, Engineering, SMEs, Design), 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, Identify state of the art technology relevant to TR products and leverage them to create value for TR customers, Provide input to the business and Labs leadership on long-term AI strategy, Mentor and coach scientists and engineers on best practices and fostering a culture of innovation, collaboration and continuous learning.
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Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree