Lead Applied Scientist

Thomson ReutersToronto, ON
Hybrid

About The Position

This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization. Are you excited about working at the forefront of applied research in an industry setting? TR Labs is the AI Research & Development arm of Thomas Reuters. We are seeking scientists with a passion for solving problems using state-of-the-art artificial intelligence and machine learning. What does Thomson Reuters Labs do? We experiment, we build, we deliver. Our core mission is to innovate industry-leading solutions for Legal, Tax & Accounting, Risk, and News Media professionals. We systematically explore and develop new technologies, particularly those in relevant areas of AI/ML, with an unwavering focus on customer problems and opportunities. 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.

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

Responsibilities

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

Benefits

  • 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
  • Paid volunteer days off annually
  • Opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives
  • 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
  • Access to Employee Stock Purchase Plan
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