Senior Applied AI Scientist — Strategy to Production

Thomson Reuters; United States; Remote; USD 148,000 - 274,000; Full time

Benefits offered by this job

Flexible work arrangements

Mental health days off

Tuition reimbursement

Employee Stock Purchase Plan

Parental leave

Job summary

Thomson Reuters Labs seeks a Lead Applied Scientist to shape the AI/ML roadmap across product features and domains such as legal reasoning and knowledge graphs. You will guide production-ready AI capabilities, lead cross-functional initiatives, and mentor researchers while engaging with stakeholders and publishing thought leadership.

You will deliver production-grade code with robust MLOps practices and influence product roadmaps with novel methods, driving real-world impact for professionals in

Qualifications

• 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.

Responsibilities

• 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.

Skills

PhD/Master's in CS or related

7+ years AI/ML production experience

Leadership in cross-functional teams

Product mindset

Novel methods influencing roadmaps

Communication & analytical skills

RAG architectures & agentic frameworks

MLOps practices

Publications in top venues

Experience with medical/tax/law AI

Production code delivery

Education

PhD in Computer Science or related

Job description

Thomson Reuters Labs seeks a Lead Applied Scientist to shape the AI/ML roadmap across product features and domains such as legal reasoning and knowledge graphs. You will guide production-ready AI capabilities, lead cross-functional initiatives, and mentor researchers while engaging with stakeholders and publishing thought leadership.

You will deliver production-grade code with robust MLOps practices and influence product roadmaps with novel methods, driving real-world impact for professionals in