[Hiring] Lead Applied Scientist @Thomson Reuters

Role Description

Are you ready to work at the forefront of applied AI research, where your work reaches real customers instead of staying in a lab notebook? Thomson Reuters Labs (TR Labs) is the AI Research & Development arm of Thomson Reuters. We experiment, we build, we deliver. Our mission is to create industry-leading AI solutions for Legal and Tax & Accounting professionals. These people make decisions that affect businesses, courts, markets, and lives. We systematically explore emerging AI/ML technologies, and we stay focused on real customer problems and opportunities.

The Lead Applied Scientist is a senior, high-influence scientific leader within TR Labs. In this role, you will:

• Define the research strategy for your focus areas and align it with Thomson Reuters' AI/ML roadmap across multiple product features.
• Lead high-impact initiatives from early experimentation through to production-ready AI capabilities.
• Drive innovation in specialized domains such as legal reasoning, document understanding, and knowledge graphs.
• Design, evaluate, and advance RAG architectures, agentic frameworks, and tool-using systems for complex professional use cases.
• Establish best practices, evaluation methodologies, and technical standards that raise the quality bar across Labs.
• Develop a deep understanding of customer problems and the data that informs them, and translate that understanding into the right AI solutions.
• Show how novel methods can influence product roadmaps and business outcomes.
• Lead stakeholder engagement across product, engineering, and business teams.
• Mentor and grow scientists across Labs, building scientific depth and leadership capability.
• Provide thought leadership through internal forums, external publications, conferences, and industry communities.
• Deliver production-quality code with well-managed software and MLOps practices.

Qualifications

• PhD or Master's degree with equivalent industry experience in Computer Science, Machine Learning, or a related field.
• 7+ years of hands-on experience building production IR, NLP, ML, or GenAI systems using modern techniques.
• Demonstrated experience leading through others in cross-functional teams to deliver end-to-end AI capabilities.
• Strong product mindset, with the 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.

Benefits

• Flex My Way: Supportive workplace policies designed to help manage personal and professional responsibilities.
• Career Development and Growth: Culture of continuous learning and skill development.
• Industry Competitive Benefits: Comprehensive benefit plans including flexible vacation, mental health days, retirement savings, and more.
• Culture: Award-winning reputation for inclusion and belonging, flexibility, and work-life balance.
• Social Impact: Opportunities for paid volunteer days and involvement in pro-bono consulting projects.
• Making a Real-World Impact: Helping customers pursue justice, truth, and transparency.