Lead Applied Scientist

Overview

Lead a senior, high-influence applied AI research function within TR Labs, setting research strategy and leading initiatives that shape Thomson Reuters' AI/ML roadmap across multiple product features, from early experimentation to production-ready AI capabilities.

What you'll do

• 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.

What you'll need

• 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.

Details

• Locations: Ann Arbor; Bangalore; Frisco; Toronto; Eagan; New York; Michigan; Texas; Karnataka; Ontario; Minnesota, United States of America; Eagan, Minnesota.
• Base compensation range for eligible US locations: $147,600 USD - $274,200 USD.
• Base compensation range for Ontario, Canada: $140,000 CAD - $175,000 CAD.
• May be eligible for an Annual Bonus based on enterprise and individual performance.
• Posting closes 11/20/2026.