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Job description
Director, Applied Research
Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs is seekingan experiencedscientist withstrongproduct mindset toleada high-performing team developing transformativesolutions for tax, audit, and accounting professionals
About the role
What doesTR Labsdo? We experiment, we build, we deliver. We support the organization and our customers through applied researchandinnovation. We work closely with product and domain experts toidentifycompelling solutions at the intersection ofcustomerneedsand technical feasibility.We partner closely with product engineering teams to deliverreal value in high-stakes settings,where accuracy and verificationare essential
Our team is designingthe nextgenerationofagentic AIfortax & accounting professionalsaround the globe.Thisisanopportunityto create entirely new workflows addressing fundamental challenges in the industry.TR has all the ingredientsfromannotatedtax lawtorobusttaxengines andend-to-end solutions for data management, filing, audit, and compliance.Comejoin the R&Dteamfor Thomson Reuters’portfolio oftaxproducts, including Checkpoint,CoCounselTax,and OneSource
About You
You hold a PhD in Computer Science, Machine Learning, or a closely related field or a Master's with equivalent depth, a strong science background, and a relevant publication record. You bring 10+ years of hands-on industry experience building AI/ML systems for commercial applications, with recent direct experience developing LLM-based and agentic systems in production. You have 5+ years leading and developing high-performing applied science or ML teams
What You'll Do
Lead and develop a high-performing applied science team working on agentic AI for tax and accounting professionals
Drive the design and delivery of AI features that meaningfully reimagine customer workflows in high-stakes, accuracy-critical settings
Serve as a strategic thought partner to Labs leadership, product leadership, and key business stakeholders on long-term AI strategy, partnerships, and capability roadmap
Influence product strategy through deep technical knowledge combined with insight from usage data, quality metrics, and customer feedback
Continuously improve ways of working across R&D and product engineering in a fast-paced, tightly embedded delivery cycle
Engage domain and subject matter experts in concept development and design workshops
Foster a team culture of innovation, rigour, collaboration, and continuous learning
Required Qualifications
PhD in Computer Science, Machine Learning, or a related field or Master's with a strong science background and relevant publication record — required
10+ years of hands-on industry experience building AI/ML systems for commercial applications — not research-only experience
Recent, direct hands-on experience developing LLM-based and agentic AI systems for production, non-trivial use cases
5+ years of experience managing and developing high-performing applied science or ML teams
Demonstrated success in product- or customer-facing roles, with business and customer impact as the primary measure of success
Technical depth in AI/ML sufficient to provide effective challenge, expand on team ideas, and support high-quality technical decision-making
Preferred Qualifications
Technical depth in information retrieval and NLP, with experience in complex vertical domains — taxonomy induction, document understanding, agentic search, knowledge graphs, or neuro-symbolic approaches
Experience with AI agent evaluation, language model training with verifiable rewards, and synthetic data generation
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Worksite address
new york, NY, 10261, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.