Thomson Reuters
Overview
Thomson Reuters is seeking a Lead Applied Scientist. This role focuses on GenAI and machine learning agents, building systems that combine neural and symbolic reasoning, handle multiple modalities, and personalize themselves to users and evolving contexts. Your work will transform how millions of legal, tax, and compliance professionals interact with information through intelligent agents that understand domain needs and adapt to workflows. About the Role
As a
Lead Applied Scientist , you will: Design and deploy
neuro-symbolic AI systems
that seamlessly integrate neural learning with structured knowledge representation and ontologies Build
multi-modal models
that synthesize insights across text, documents, structured data, and domain-specific artifacts Explore the
emergent intelligence at the intersection of GenAI and machine learning agents , creating autonomous systems that reason and act Develop
adaptive domain-specific reasoning
capabilities that understand the nuances of legal, regulatory, and financial contexts Own and lead end-to-end research deliverables—from ideation and experimentation to production deployment Establish comprehensive
AI evaluation frameworks, quality assessment methodologies, and observability systems
that ensure reliability, fairness, and transparency Leverage advanced information retrieval techniques, prompting workflows, and model training strategies to optimize solutions Shape long-term AI strategy by providing strategic input to business and Labs leadership Champion
AI personalization and continual learning
approaches that make products smarter with every interaction Lead stakeholder engagement across UX, Product, and Engineering teams to align AI capabilities with user needs Develop in-depth knowledge of customer problems and data Mentor scientists and engineers on best practices in applied AI research and production ML systems Build expertise in knowledge representation, domain reasoning, and agentic AI architectures Foster a culture that balances scientific rigor with pragmatic delivery and customer value About You
You're a fit for the role
Lead Applied Scientist
if your background includes: PhD in Computer Science, Machine Learning, AI, or related field (or Master's with equivalent depth of experience) 7+ years building production IR/NLP systems for commercial applications with demonstrated business impact Strong software engineering capabilities with experience in production code, MLOps, and managed delivery pipelines Proven track record translating complex, ambiguous problems into successful AI applications Proficiency in AI evaluation, quality assessment, and observability for production systems Neuro-symbolic AI
architectures that combine learning and reasoning Expertise in
multi-modal modeling
across diverse data types and representation formats Hands-on experience with
knowledge representation, ontologies , and semantic reasoning systems Track record implementing
AI personalization and continual learning
that adapts to user behavior and feedback Experience with
adaptive domain-specific reasoning
in specialized professional contexts Familiarity with
emergent intelligence at the intersection of GenAI and machine learning agents —including agentic frameworks, tool use, and autonomous decision-making Demonstrated ability to scale impact through others in applied research or advanced development settings Outstanding communication skills—you translate complex technical concepts for diverse audiences Proven success collaborating with Product, Engineering, and Business stakeholders in agile environments Strong problem-solving and analytical thinking with a bias toward action and iteration #LI-MW1 What’s in it For You?
Flexibility & Work-Life Balance:
Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, including work from anywhere for up to 8 weeks per year. Career Development and Growth:
Our Grow My Way programming and skills-first approach supports continuous learning and skill development to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits:
Comprehensive plans with flexible vacation, two company-wide Mental Health Days off, retirement savings, tuition reimbursement, and wellbeing resources. Culture:
Globally recognized for inclusion and belonging, with values to obsess over customers, compete to win, challenge thinking, act fast/learn fast, and stronger together. Social Impact:
Two paid volunteer days off annually and opportunities for pro-bono consulting projects and ESG initiatives. Making a Real-World Impact:
We help customers pursue justice, truth, and transparency, uphold the rule of law, support commerce, and provide trusted information globally. In the United States, Thomson Reuters offers a comprehensive benefits package including health, dental, vision, disability, life insurance, and a 401k with company match. Benefits also cover flexible vacation, paid time off, holidays (including two mental health days), parental leave, sabbatical, and additional optional coverage. Base pay varies by location and experience, with a possible annual bonus. This job posting will close. About Us Thomson Reuters informs the way forward by bringing together trusted content and technology for professionals across legal, tax, accounting, compliance, government, and media. Our products empower professionals with data, insights, and solutions to make informed decisions and uphold justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world-leading provider of trusted journalism and news. We are 26,000 employees across 70+ countries, with a culture that values objectivity, accuracy, fairness, and transparency. We are an Equal Employment Opportunity Employer providing a drug-free workplace and we make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs where required by law. Learn more on protecting yourself from fraudulent postings here. More information about Thomson Reuters can be found at thomsonreuters.com.
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Thomson Reuters is seeking a Lead Applied Scientist. This role focuses on GenAI and machine learning agents, building systems that combine neural and symbolic reasoning, handle multiple modalities, and personalize themselves to users and evolving contexts. Your work will transform how millions of legal, tax, and compliance professionals interact with information through intelligent agents that understand domain needs and adapt to workflows. About the Role
As a
Lead Applied Scientist , you will: Design and deploy
neuro-symbolic AI systems
that seamlessly integrate neural learning with structured knowledge representation and ontologies Build
multi-modal models
that synthesize insights across text, documents, structured data, and domain-specific artifacts Explore the
emergent intelligence at the intersection of GenAI and machine learning agents , creating autonomous systems that reason and act Develop
adaptive domain-specific reasoning
capabilities that understand the nuances of legal, regulatory, and financial contexts Own and lead end-to-end research deliverables—from ideation and experimentation to production deployment Establish comprehensive
AI evaluation frameworks, quality assessment methodologies, and observability systems
that ensure reliability, fairness, and transparency Leverage advanced information retrieval techniques, prompting workflows, and model training strategies to optimize solutions Shape long-term AI strategy by providing strategic input to business and Labs leadership Champion
AI personalization and continual learning
approaches that make products smarter with every interaction Lead stakeholder engagement across UX, Product, and Engineering teams to align AI capabilities with user needs Develop in-depth knowledge of customer problems and data Mentor scientists and engineers on best practices in applied AI research and production ML systems Build expertise in knowledge representation, domain reasoning, and agentic AI architectures Foster a culture that balances scientific rigor with pragmatic delivery and customer value About You
You're a fit for the role
Lead Applied Scientist
if your background includes: PhD in Computer Science, Machine Learning, AI, or related field (or Master's with equivalent depth of experience) 7+ years building production IR/NLP systems for commercial applications with demonstrated business impact Strong software engineering capabilities with experience in production code, MLOps, and managed delivery pipelines Proven track record translating complex, ambiguous problems into successful AI applications Proficiency in AI evaluation, quality assessment, and observability for production systems Neuro-symbolic AI
architectures that combine learning and reasoning Expertise in
multi-modal modeling
across diverse data types and representation formats Hands-on experience with
knowledge representation, ontologies , and semantic reasoning systems Track record implementing
AI personalization and continual learning
that adapts to user behavior and feedback Experience with
adaptive domain-specific reasoning
in specialized professional contexts Familiarity with
emergent intelligence at the intersection of GenAI and machine learning agents —including agentic frameworks, tool use, and autonomous decision-making Demonstrated ability to scale impact through others in applied research or advanced development settings Outstanding communication skills—you translate complex technical concepts for diverse audiences Proven success collaborating with Product, Engineering, and Business stakeholders in agile environments Strong problem-solving and analytical thinking with a bias toward action and iteration #LI-MW1 What’s in it For You?
Flexibility & Work-Life Balance:
Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, including work from anywhere for up to 8 weeks per year. Career Development and Growth:
Our Grow My Way programming and skills-first approach supports continuous learning and skill development to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits:
Comprehensive plans with flexible vacation, two company-wide Mental Health Days off, retirement savings, tuition reimbursement, and wellbeing resources. Culture:
Globally recognized for inclusion and belonging, with values to obsess over customers, compete to win, challenge thinking, act fast/learn fast, and stronger together. Social Impact:
Two paid volunteer days off annually and opportunities for pro-bono consulting projects and ESG initiatives. Making a Real-World Impact:
We help customers pursue justice, truth, and transparency, uphold the rule of law, support commerce, and provide trusted information globally. In the United States, Thomson Reuters offers a comprehensive benefits package including health, dental, vision, disability, life insurance, and a 401k with company match. Benefits also cover flexible vacation, paid time off, holidays (including two mental health days), parental leave, sabbatical, and additional optional coverage. Base pay varies by location and experience, with a possible annual bonus. This job posting will close. About Us Thomson Reuters informs the way forward by bringing together trusted content and technology for professionals across legal, tax, accounting, compliance, government, and media. Our products empower professionals with data, insights, and solutions to make informed decisions and uphold justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world-leading provider of trusted journalism and news. We are 26,000 employees across 70+ countries, with a culture that values objectivity, accuracy, fairness, and transparency. We are an Equal Employment Opportunity Employer providing a drug-free workplace and we make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs where required by law. Learn more on protecting yourself from fraudulent postings here. More information about Thomson Reuters can be found at thomsonreuters.com.
#J-18808-Ljbffr