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Thomson Reuters is seeking an Applied Scientist for their Labs in the USA, focusing on the development of AI solutions in natural language processing (NLP) and information retrieval. The ideal candidate will possess strong technical expertise, specifically in NLP systems, and will thrive in a collaborative, innovative environment.
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Job Summary
Thomson Reuters Labs is seeking scientists with a passion for solving problems using state-of-the-art information retrieval, natural language processing and generative AI.
Applied Scientists contribute to the research and development of AI solutions that enhance Thomson Reuters' products, ensuring AI technologies are aligned with business objectives.
The company offers a hybrid work model, flexibility and work-life balance, career development and growth opportunities, industry-competitive benefits, and a culture recognized for inclusion and belonging.
Matching Summary
Match Score: 75
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Thomson Reuters is seeking an Applied Scientist for their Labs in the USA, focusing on the development of AI solutions in natural language processing (NLP) and information retrieval. The ideal candidate will possess strong technical expertise, specifically in NLP systems, and will thrive in a collaborative, innovative environment.
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Salary
Base: $110,000 USD - $204,200 USD (US); $80,000 CAD - $100,000 CAD (Ontario, Canada); Bonus/Equity: May be eligible for Annual Bonus; Benefits: Comprehensive benefit plans, flexible vacation, mental health days, retirement savings, tuition reimbursement, etc.
Skills & Requirements
Must-have
information retrieval
natural language processing
generative AI
end-to-end model development lifecycle
functional POCs
Nice-to-have
passion for solving problems
creatively unlock new capabilities
align AI with business objectives
continuous learning and skill development
Key Requirements
PhD or Master’s in a relevant discipline
Experience researching, building, and evaluating NLP systems
Solid engineering skills for prototyping
Familiarity with workflows for remote development (AWS, Azure or similar)
Experience designing and implementing solutions with large language models