Lead Applied Scientist

Thomson Reuters

Lead Applied Scientist at Thomson Reuters, driving AI/ML innovation and research strategy across product features. Mentoring scientists and shaping the company's approach to applied AI.

Posted 7/17/2026full-timeEagan • Minnesota, Missouri, New York • 🇺🇸 United StatesSenior💰 $170,000 - $316,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in defining research strategies and leading high-impact AI/ML initiatives, with a strong focus on developing innovative solutions in specialized domains such as legal reasoning and document understanding. Proven ability to mentor teams, engage stakeholders, and translate complex customer problems into effective AI applications.

Highest-signal resume keywords

PhD Or Master's Degree In Computer Science7+ Years Experience In Building Production ML SystemsDeep Expertise In RAG ArchitecturesStrong Product Mindset For AI ApplicationsPublications At Top-Tier Venues

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningNatural Language ProcessingInformation RetrievalGenerative AIEvaluation MethodologiesDocument UnderstandingKnowledge GraphsAgentic FrameworksNovel Method Development

Soft Skills

Outstanding Communication SkillsAnalytical SkillsThought LeadershipMentoring

Industry Keywords

AI RoadmapCross-Functional TeamsStakeholder EngagementCustomer Problem UnderstandingComplex Professional Domains

About the role

Key responsibilities & impact

Define research strategy and lead high-impact initiatives
Shape Thomson Reuters' AI/ML roadmap across multiple product features
Drive innovation in specialized domains such as legal reasoning, document understanding, or knowledge graphs
Establish best practices and technical vision
Provide thought leadership internally and externally
Mentor scientists across Labs and lead stakeholder engagement
Develop a deep understanding of customer problems and data that informs them

Requirements

What you’ll need

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

Benefits

Comp & perks

Health insurance
Retirement savings
Tuition reimbursement
Employee incentive programs
Resources for mental, physical, and financial wellbeing
Flexible vacation
Paid time off (including two company-wide Mental Health Days)
Work from anywhere for up to 8 weeks per year
Professional development programs