Lead AI Scientist — End-to-End Research & Impact

Thomson Reuters; Ann Arbor (MI); Hybrid; USD 127,400 - 236,600; Full time

Benefits offered by this job

Hybrid Work Model

Flexible vacation

Mental Health Days off

Headspace access

Retirement savings

Tuition reimbursement

Volunteer days off

Job summary

Thomson Reuters in the United States is seeking a Senior Applied Scientist to lead end-to-end applied research projects that drive product innovation in legal intelligence, tax automation, or regulatory compliance. You will translate business challenges into technical solutions, determine feasibility, and deliver scalable AI capabilities.

This role includes mentoring scientists and influencing technical direction within your team while growing and scaling impact across the organization.

Qualifications

• PhD or Master’s in CS/ML or related field.
• 5+ years building and deploying production IR/NLP/ML/GenAI systems.
• Experience leading end-to-end AI project delivery in cross-functional teams.
• Publications at ACL/EMNLP/NeurIPS/NeACL/NeurIPS/ICLR/SIGIR/KDD.
• Expertise in RAG architectures, agentic frameworks, tool-using systems, or orchestration patterns.

Responsibilities

• Lead end-to-end applied research projects driving product innovation.
• Translate business challenges into scalable AI solutions.
• Mentor scientists and influence technical direction within the team.
• Grow and scale impact across the organization.

Skills

Production IR/NLP/ML/GenAI systems

End-to-end AI project delivery

Technical judgment & evaluation

Communication & influence

RAG architectures / agentic frameworks

Publications in NLP/AI venues

Education

PhD or Master’s in CS/ML or related field

Job description

Thomson Reuters in the United States is seeking a Senior Applied Scientist to lead end-to-end applied research projects that drive product innovation in legal intelligence, tax automation, or regulatory compliance. You will translate business challenges into technical solutions, determine feasibility, and deliver scalable AI capabilities.

This role includes mentoring scientists and influencing technical direction within your team while growing and scaling impact across the organization.