Senior Applied Scientist

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

About the Role

As a Senior Applied Scientist, you will 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 starting to grow and scale your impact.

About You

• PhD or Master’s degree with equivalent industry experience in Computer Science, Machine Learning, or related field
• 5+ years of hands‑on experience building and deploying production IR, NLP, ML, or GenAI systems using modern techniques
• Demonstrated experience leading end‑to‑end AI project delivery in collaborative, cross‑functional environments
• Outstanding technical judgment and evaluation expertise
• Excellent communication skills with ability to influence technical direction
• Experience developing novel methods for complex professional domains such as medical, tax, or law
• Expertise in RAG architectures, agentic frameworks, tool‑using systems, or orchestration patterns
• Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, or KDD

Compensation

Eligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations is $146,800 USD–$272,600 USD. For any eligible U.S. locations, unless otherwise noted, the base compensation range is $127,400 USD–$236,600 USD. For Ontario, Canada, the base compensation range is $100,000 CAD–$145,000 CAD. Base pay is determined within this range based on factors including knowledge, skills, and experience. Total reward includes flexible benefits and other wellbeing programs. The role may also be eligible for an annual bonus based on performance.

Benefits

• Hybrid Work Model: flexible hybrid working environment (2–3 days a week in the office depending on the role)
• Flexibility & Work‑Life Balance: policies allowing work from anywhere for up to 8 weeks per year, helping balance personal and professional responsibilities
• Career Development and Growth: continuous learning and skill‑development opportunities through the Grow My Way programming and a skills‑first approach
• Industry Competitive Benefits: comprehensive benefit plans including flexible vacation, two company‑wide Mental Health Days off, access to Headspace, retirement savings, tuition reimbursement, and resources for mental, physical, and financial wellbeing
• Culture: inclusive and belonging environment with a focus on flexibility, work‑life balance, and strong values such as Obsess over Customers, Compete to Win, Challenge Your Thinking, Act Fast / Learn Fast, and Stronger Together
• Social Impact: two paid volunteer days off annually and opportunities to contribute to pro‑bono consulting projects and ESG initiatives
• Real‑World Impact: contributing to solutions that help uphold the rule of law, protect commerce, and provide trustworthy information worldwide

Equal Employment Opportunity Statement

As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all of our operations around the world regardless of race, color, sex/gender (including pregnancy), gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug‑free workplace. Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law. If you reside in the United States and require an accommodation in the recruiting process, please contact the Human Resources Department at HR.Leave‑[e-mail].