Thomson Reuters
Overview
Thomson Reuters is seeking a Lead Applied Scientist. This is where emergent intelligence meets real-world impact. You'll work at the cutting edge of GenAI and machine learning agents, building systems that combine neural and symbolic reasoning, understand multiple modalities, and personalize themselves to individual users and evolving contexts. Your work will transform how millions of legal, tax, and compliance professionals interact with information—not through static tools, but through intelligent agents that understand their domain, anticipate their needs, and evolve with their 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 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. Our flexible work arrangements include work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth:
By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits:
We offer comprehensive benefit plans including flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture:
Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact:
Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with 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, catch bad actors, report facts, and provide trusted information. In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our package includes health, dental, vision, disability, and life insurance programs, plus a 401k with company match. We offer paid time off, holidays (including two mental health days), parental leave, and other wellbeing programs. The base compensation range for eligible US locations is $147,000 - $273,000, with eligibility for an annual bonus based on performance. Base pay is one part of a Total Reward program that includes benefits and wellbeing programs. 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. We serve professionals with data, intelligence, and solutions to help informed decisions and uphold standards of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world-leading provider of trusted journalism and news. We are powered by 26,000 employees across 70+ countries, with a culture of growth and flexible work environments. We pursue objectivity, accuracy, fairness, and transparency as part of our duty. Join us and help shape industries that move society forward. We value diverse backgrounds and experiences. We seek talented employees in all operations worldwide, regardless of race, color, sex/gender, pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, veteran status, or other protected classifications. Thomson Reuters is an Equal Employment Opportunity Employer with a drug-free workplace. We accommodate qualified individuals with disabilities and sincerely held religious beliefs in accordance with applicable law. More information on accommodations is available. Learn more about avoiding fraudulent postings. More information about Thomson Reuters can be found at thomsonreuters.com.
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Thomson Reuters is seeking a Lead Applied Scientist. This is where emergent intelligence meets real-world impact. You'll work at the cutting edge of GenAI and machine learning agents, building systems that combine neural and symbolic reasoning, understand multiple modalities, and personalize themselves to individual users and evolving contexts. Your work will transform how millions of legal, tax, and compliance professionals interact with information—not through static tools, but through intelligent agents that understand their domain, anticipate their needs, and evolve with their 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 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. Our flexible work arrangements include work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth:
By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits:
We offer comprehensive benefit plans including flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture:
Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact:
Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with 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, catch bad actors, report facts, and provide trusted information. In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our package includes health, dental, vision, disability, and life insurance programs, plus a 401k with company match. We offer paid time off, holidays (including two mental health days), parental leave, and other wellbeing programs. The base compensation range for eligible US locations is $147,000 - $273,000, with eligibility for an annual bonus based on performance. Base pay is one part of a Total Reward program that includes benefits and wellbeing programs. 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. We serve professionals with data, intelligence, and solutions to help informed decisions and uphold standards of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world-leading provider of trusted journalism and news. We are powered by 26,000 employees across 70+ countries, with a culture of growth and flexible work environments. We pursue objectivity, accuracy, fairness, and transparency as part of our duty. Join us and help shape industries that move society forward. We value diverse backgrounds and experiences. We seek talented employees in all operations worldwide, regardless of race, color, sex/gender, pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, veteran status, or other protected classifications. Thomson Reuters is an Equal Employment Opportunity Employer with a drug-free workplace. We accommodate qualified individuals with disabilities and sincerely held religious beliefs in accordance with applicable law. More information on accommodations is available. Learn more about avoiding fraudulent postings. More information about Thomson Reuters can be found at thomsonreuters.com.
#J-18808-Ljbffr