Lead Applied Scientist
About the role
We are seeking scientists with a passion for solving problems using state-of-the-art artificial intelligence and machine learning. 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 shaping Thomson Reuters' AI/ML roadmap across multiple product features
- 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, mentoring scientists across Labs and leading 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
- Publishations at top-tier venues (ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD)
- Experience delivering production code with well-managed software/MLOps practices
Qualifications
- Publications at top-tier venues (ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD)
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
- Proven ability to demonstrate novel methods that influence product roadmaps and business outcomes
- Outstanding communication and analytical skills
Benefits
This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.
What’s in it for You?
- Hybrid Work Model: 2-3 days a week in the office depending on the role
- Flexibility & Work-Life Balance: Flex My Way policies
- Career Development and Growth: Grow My Way programming and skills-first approach
- Industry Competitive Benefits: 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: Global recognition for inclusion and belonging, flexibility, work-life balance, and more
- Social Impact: Two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives
- Making a Real-World Impact: Helping customers pursue justice, truth, and transparency
Pay
The base compensation range varies across locations. For any eligible US locations, the base compensation range for this role is $147,600 USD - $274,200 USD. For Ontario, Canada, the base compensation range for this role is $140,000 CAD - $175,000 CAD.
Schedule
Hybrid Work Model: 2-3 days a week in the office depending on the role
Application Instructions
For any eligible US locations, unless otherwise noted, the base compensation range for this role is $147,600 USD - $274,200 USD. For Ontario, Canada, the base compensation range for this role is $140,000 CAD - $175,000 CAD.