Lead Applied Scientist

Job Description 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.

As a Lead Applied Scientist
, you will:

• Design and financieeldeploy jambo
  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-endigr 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 bargain 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

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 inAI evaluation, quality assessment, and observabilityfor production systems

• Neuro-symbolic AIаста 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 adaptsa 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

• Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh AFF and reset.

• Career Development and Growth: By fostering a culture…