Director, Applied Research

Job not on LinkedIn

🔥 3 minutes ago

🗽 New York – Remote

🗽 New York – Remote

💵 $198.2k - $368k / year

⏰ Full Time

🔴 Lead

👔 Director

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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 working on agentic AI for tax and accounting professionals • Drive the design and delivery of AI features that reimagine customer workflows in high-stakes, accuracy-critical settings • Advise Labs leadership, product leadership, and business stakeholders on long-term AI strategy, partnerships, and capability roadmaps • Influence product strategy using technical expertise, usage data, quality metrics, and customer feedback • Improve ways of working across R&D and product engineering in a fast-paced delivery cycle • Engage domain and subject matter experts in concept development and design workshops • Foster a culture of innovation, rigour, collaboration, and continuous learning

🎯 Requirements

• PhD in Computer Science, Machine Learning, or a related field, or Master's with equivalent depth, strong science background, and relevant publication record • 10+ years of hands-on industry experience building AI/ML systems for commercial applications • Recent direct hands-on experience developing LLM-based and agentic AI systems in production for 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 success measure • Technical depth in AI/ML sufficient to challenge ideas and support high-quality technical decisions • Preferred: technical depth in information retrieval and NLP, including taxonomy induction, document understanding, agentic search, knowledge graphs, or neuro-symbolic approaches • Preferred: experience with AI agent evaluation, language model training with verifiable rewards, and synthetic data generation • Preferred: publications at ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD, or equivalent • Preferred: experience building AI solutions for tax, legal, audit, or accounting domains • Preferred: track record of growth at top-tier technology companies or high-growth startups

🏖️ Benefits

• Flexible work arrangements, including 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 • Opportunities for pro-bono consulting projects and ESG initiatives • Health, dental, vision, disability, and life insurance programs • Competitive 401(k) 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 • Optional life and AD&D insurance • Flexible Spending and Health Savings Accounts • Fitness reimbursement • Employee Assistance Program • Group Legal Identity Theft Protection benefit • Access to 529 Plan • Commuter benefits • Adoption & Surrogacy Assistance • Employee Stock Purchase Plan • Career development, continuous learning, and skills development programs