Applied Scientist – Research Products

Applied Scientist – Research Products 

Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in the USA 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 and natural language processing. We work closely with product and domain experts to identify compelling solutions at the intersection of user needs and technical feasibility. Our team is designing the next generation of search technology for Legal and Tax Professionals globally. We drive AI innovation for Thomson Reuters’ Core Research Products, including Westlaw, Practical Law, and Checkpoint. 

About the Role 

Applied Scientists are experts in NLP, who contribute to the research and development of AI solutions that enhance Thomson Reuters' products. Their work ensures AI technologies are aligned with business objectives to drive innovation and deliver customer value. 

As an Applied Scientist, you will:  

• Take ideas through the end-to-end model development lifecycle (task design, data creation, training, evaluation and model governance) 

• Think creatively about new capabilities generative AI can unlock for our customers 

• Work with stakeholders to define scope, determine feasibility, and translate business/customer objectives into technical requirements 

• Create functional POCs to test new capabilities and Product concepts 

• Write clean code, participate in code reviews, and contribute to well-managed software delivery in a production environment 

About You 

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

Basic qualifications 

• PhD or Master’s in a relevant discipline 

• Experience researching, building, and evaluating NLP systems  

• Solid engineering skills for prototyping; experience contributing to a shared codebase; and familiarity with workflows for remote development (AWS, Azure or similar) 

• Outstanding communication, problem-solving, and analysis skills  

• Demonstrated ability to communicate AI concepts to a diverse audience