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About the Role

As a Lead Applied Scientist, you will define research strategy and lead high-impact initiatives that shape Thomson Reuters' AI/ML roadmap across multiple product features. You will drive innovation in specialized domains such as legal reasoning, document understanding, or knowledge graphs, establishing best practices and technical vision. You will provide thought leadership internally and externally, mentoring scientists across Labs and leading stakeholder engagement. You will develop a deep understanding of customer problems and the data that informs them.

Responsibilities

Define research strategy and lead high-impact initiatives that shape Thomson Reuters' AI/ML roadmap.
Drive innovation in specialized domains such as legal reasoning, document understanding, or knowledge graphs.
Establish best practices and technical vision.
Provide thought leadership internally and externally.
Mentor scientists across Labs.
Lead stakeholder engagement.
Develop a deep understanding of customer problems and the data that informs them.

Requirements

PhD or Master's degree with equivalent industry experience in Computer Science, Machine Learning, or related field.
7+ years of hands-on experience building production IR, NLP, ML, or GenAI systems leveraging modern techniques.
Demonstrated experience leading through others in cross-functional teams to deliver end-to-end AI capabilities.
Strong product mindset with 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.

Skills

AI
Machine Learning
IR
NLP
GenAI
RAG architectures
Agentic frameworks
Tool-using systems
Evaluation methodologies
Software/MLOps practices

Location

New York City, NY
San Francisco, CA
Los Angeles, CA
Irvine, CA
McLean, VA
Washington, DC
Ontario, Canada

Work Type

Hybrid
Work from anywhere for up to 8 weeks per year

Experience Level

7+ years of hands-on experience
Lead

Education Level

PhD or Master's degree

Salary/Compensations

$170,000 USD - $316,000 USD (US Office Locations)
$147,600 USD - $274,200 USD (Other US Locations)
$140,000 CAD - $175,000 CAD (Ontario, Canada)

Benefits

Flexible hybrid working environment (2-3 days a week in the office)
Flex My Way policies
Work from anywhere for up to 8 weeks per year
Continuous learning and skill development
Grow My Way programming
Skills-first approach
Flexible vacation
Two company-wide Mental Health Days off
Access to the Headspace app
Retirement savings
Tuition reimbursement
Employee incentive programs
Resources for mental, physical, and financial wellbeing
Globally recognized, award-winning reputation for inclusion and belonging
Two paid volunteer days off annually
Opportunities to get involved with pro-bono consulting projects and ESG initiatives
Market competitive health, dental, vision, disability, and life insurance programs (US)
Competitive 401k plan with company match (US)
Competitive vacation, sick and safe paid time off (US)
Paid holidays (including two company mental health days off) (US)
Parental leave (US)
Sabbatical leave (US)
Optional hospital, accident and sickness insurance (US)
Optional life and AD&D insurance (US)
Flexible Spending and Health Savings Accounts (US)
Fitness reimbursement (US)
Access to Employee Assistance Program (US)
Group Legal Identity Theft Protection benefit (US)
Access to 529 Plan (US)
Commuter benefits (US)
Adoption & Surrogacy Assistance (US)
Access to Employee Stock Purchase Plan (US)

About the Company

TR Labs is the AI Research & Development arm of Thomas Reuters.
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions.
We serve professionals across legal, tax, accounting, compliance, government, and media.
Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency.
Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments.
We consider it our duty to pursue objectivity, accuracy, fairness, and transparency.

Equal Opportunity

As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law.
Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law.
If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department at HR.Leave-Expert@thomsonreuters.com.
Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations.
Learn more on how to protect yourself from fraudulent job postings here.
More information about Thomson Reuters can be found on thomsonreuters.com