Director, Applied Research

Job not on LinkedIn

🕒 August 5

🗽 New York – Remote

🗽 New York – Remote

💵 $198.2k - $368k / year

⏰ Full Time

🔴 Lead

👔 Director

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 17%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Thomson Reuters

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2008

💼 Consulting

⚖️ Legal

🛡️ Insurance

Consulting • Legal • Insurance

Thomson Reuters is a global content and technology company that provides professionals with reliable and accurate solutions across the legal, tax and accounting, international trade, and risk management sectors. The company offers a range of products including legal research tools, tax preparation software, compliance and regulatory solutions, and media services like Reuters for global news. With significant investments in generative AI, Thomson Reuters continues to innovate in helping professionals optimize their workflows and enhance their decision-making. Their platforms serve various industries such as law firms, corporations, tax professionals, and media organizations, providing essential tools that combine powerful technology with in-depth expert content.

📋 Description

• Lead and develop a high-performing applied science team focused on agentic AI solutions for tax and accounting professionals • Drive the design, development, and delivery of AI features that reimagine customer workflows in high-stakes, accuracy-critical settings • Set technical direction for applied research initiatives while balancing scientific rigor, customer value, product feasibility, and delivery timelines • Partner with product engineering teams to transition research innovations into scalable, reliable, production-ready capabilities • Advise Labs leadership, product leadership, and business stakeholders on long-term AI strategy, external partnerships, and capability roadmaps • Influence product strategy using product usage data, quality metrics, evaluations, and customer feedback • Develop approaches for LLM-based systems, agentic workflows, information retrieval, document understanding, knowledge representation, and AI evaluation • Ensure AI systems include appropriate accuracy, verification, observability, safety, and quality controls • Engage tax, audit, accounting, and other subject-matter experts in concept development, design workshops, experimentation, and solution validation • Improve ways of working across R&D and product engineering • Foster innovation, rigor, collaboration, technical excellence, and continuous learning • Represent TR Labs and the tax technology organization in technical forums, cross-functional initiatives, and external research communities

🎯 Requirements

• PhD in Computer Science, Machine Learning, or a closely related field; or a Master's degree with equivalent depth, a strong scientific background, and a relevant publication record • 10+ years of hands-on industry experience building AI and machine learning systems for commercial applications; research-only experience is not sufficient • 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, machine learning, or AI research teams • Demonstrated success in product-facing or customer-facing roles, with measurable business and customer impact • Technical depth in AI and machine learning sufficient to guide high-quality technical decisions and establish effective research direction • Strong expertise in information retrieval and natural language processing, particularly in complex vertical domains • Experience with taxonomy induction, document understanding, agentic search, knowledge graphs, neuro-symbolic AI, or comparable approaches • Experience evaluating AI agents and language-model-based systems, including verifiable rewards, synthetic data generation, and rigorous quality measurement • Relevant publication record, including publications at ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD, or equivalent venues • Experience building AI solutions for tax, legal, audit, accounting, or other highly regulated and knowledge-intensive domains • Track record of growth and leadership at top-tier technology companies, high-growth startups, or similarly demanding environments • Strong communication and influencing skills • Passion for developing people, building strong teams, and creating an inclusive, high-performing culture

🏖️ Benefits

• Work from anywhere for up to 8 weeks per year • 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 • Two paid volunteer days off annually • 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 • Employee Assistance Program • Group Legal Identity Theft Protection benefit paid 100% by employee • 529 Plan • Commuter benefits • Adoption & Surrogacy Assistance • Employee Stock Purchase Plan • Annual Bonus based on a combination of enterprise and individual performance