Thomson Reuters
Lead Applied Scientist
$148K–$274K
United States of America, Eagan, Minnesota +5 · Remote · Full-time · Posted Oct 20, 2026
- Location
- United States of America, Eagan, Minnesota
United States of America, Frisco, Texas
India, Bengaluru, Karnataka
United States of America, New York, New York
Canada, Toronto, Ontario
United States of America, Ann Arbor, Michigan - Experience
- 7+ years of hands-on experience building production IR, NLP, ML, or GenAI systems.
- Education
- PhD or Master's degree with equivalent industry experience in Computer Science, Machine Learning, or a related field.
About the job
Leads applied AI research strategy and delivers production AI capabilities for professional-domain products, shaping roadmaps and mentoring scientists.
What you'll do
- Set research strategy and lead initiatives from experimentation through production, aligned with the AI/ML roadmap.
- Develop and evaluate RAG, agentic, and tool-using systems; establish evaluation methods and technical standards.
- Partner with stakeholders, mentor scientists, and provide scientific thought leadership.
What they ask for
- 7+ years of hands-on experience building production IR, NLP, ML, or GenAI systems using modern techniques.
- Demonstrated cross-functional leadership delivering end-to-end AI capabilities.
- Deep expertise in RAG architectures, agentic frameworks, tool-using systems, and evaluation methodologies.
- Experience delivering production code with well-managed software/MLOps practices.
Nice to have
- Publications at top-tier venues (ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD).
- Significant experience developing novel methods for complex professional domains such as medical, tax, or law.
Pay
$147,600 USD - $274,200 USD (base salary); $140,000 CAD - $175,000 CAD (base salary)
Tools
IR, NLP, ML, GenAI, RAG, agentic frameworks, tool-using systems, MLOps
AI focus
Applied AI research and production systems, including RAG, agentic frameworks, tool-using systems, legal reasoning, document understanding, and knowledge graphs.
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