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Thomson Reuters · 2 weeks ago

Lead Applied Scientist

New York, NY

Full-time

Hybrid

Senior Level, Lead/Staff

$148K/yr - $274K/yr

7+ years exp

Thomson Reuters is seeking a Lead Applied Scientist. This role involves designing and deploying neuro-symbolic AI systems and building multi-modal models to enhance legal, tax, and compliance professionals' interactions with information through intelligent agents.

AdviceAnalyticsFinancial ServicesManagement ConsultingProfessional ServicesRisk ManagementSoftware

H1B Sponsor Likely

Responsibilities

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

Qualification

Neuro-symbolic AIMulti-modal modelingAI evaluation frameworksProduction IR/NLP systemsMLOpsKnowledge representationDomain-specific reasoningAI personalizationAnalytical thinkingCommunication skillsProblem-solving

Required

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

Benefits

Flexibility & Work-Life Balance

Career Development and Growth

Industry Competitive Benefits

Culture

Social Impact

Making a Real-World Impact

Market competitive health, dental, vision, disability, and life insurance programs

Competitive 401k plan with company match

Competitive vacation, sick and safe paid time off

Paid holidays (including two company mental health days off)

Parental leave

Sabbatical leave

Optional hospital, accident and sickness insurance paid 100% by the employee

Optional life and AD&D insurance paid 100% by the employee

Flexible Spending and Health Savings Accounts

Fitness reimbursement

Access to Employee Assistance Program

Group Legal Identity Theft Protection benefit paid 100% by employee

Access to 529 Plan

Commuter benefits

Adoption & Surrogacy Assistance

Tuition Reimbursement

Access to Employee Stock Purchase Plan

Company

Thomson Reuters

Glassdoor3.0

Thomson Reuters delivers critical information from the financial, legal, accounting, intellectual property, science, and media markets.

Founded in 2008

Toronto, Ontario, CAN

10001+ employees

http://thomsonreuters.com

H1B Sponsorship

Thomson Reuters has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (13)

2024 (12)

2023 (5)