Lead Applied Scientist

Thomson Reuters
RemotePosted 7 April 2026

Job Description

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?  TR Labs is the AI Research & Development arm of Thomas Reuters. We are seeking scientists with a passion for solving problems using state-of-the-art artificial intelligence and machine learning. What does Thomson Reuters Labs do? We experiment, we build, we deliver.  Our core mission is to innovate industry-leading solutions for Legal, Tax & Accounting, Risk, and News Media professionals. We systematically explore and develop new technologies, particularly those in relevant areas of AI/ML, with an unwavering focus on customer problems and opportunities. About the Role As a Lead Applied Scientist, you will define research strategy and lead high-impact initiatives that shape Thomson Reuters' AI/ML roadmap across multiple product features. You will drive innovation in specialized domains such as legal reasoning, document understanding, or knowledge graphs, establishing best practices and technical vision. You will provide thought leadership internally and externally, mentoring scientists across Labs and leading stakeholder engagement. You will develop a deep understanding of customer problems and the data that informs them. About You You’re a fit for the role of Lead Applied Scientist if your background includes: PhD or Master's degree with equivalent industry experience in Computer Science, Machine Learning, or related field 7 years of hands-on experience building production IR, NLP, ML, or GenAI systems leveraging modern techniques Demonstrated experience leading through others in cross-functional teams to deliver end-to-end AI capabilities Strong product mindset with ability to translate complex customer problems into successful AI applications Proven ability to demonstrate novel methods that influence product roadmaps and business outcomes Outstanding communication and analytical skills Deep expertise in RAG architectures, agentic frameworks, tool-using systems, and evaluation methodologies Significant experience developing novel methods for complex professional domains such as medical, tax, or law. Publications at top-tier venues (ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD) Experience delivering production code with well-managed software/MLOps practices #LI-SM2 What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn ... (truncated, view full listing at source)
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