Director, Applied Research

Details of the offer

Director, Applied Research Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs is seeking a Director of Applied Research with a passion for product development and the desire to build high-value, state-of-the-art information systems for legal professionals.


What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research in informational retrieval and natural language processing. We work closely with product and domain experts to identify compelling solutions at the intersection of user need and technical feasibility. Our team is designing next generation search technology for Legal and Tax Professionals globally.

About the Role This leadership role has significant scope to influence product strategy and design the next generation of AI capabilities for Thomson Reuters' flagship legal research products. In this role, you will:

Design and develop AI features that reimagine the way legal research is done. Inner source and scale solutions developed in Labs across the enterprise. Inform the business and Labs leadership on long term AI strategy and partnerships. Influence product strategy with high value insights around usage, quality, and feedback. Oversee model governance activities and provide effective challenge. Continuously improve ways of working with cross-functional teams including Product, UX, and Engineering. Engage in concept development and design workshops with deep domain experts. Inspire a team of highly intellectual individuals, fostering a culture of innovation, collaboration and continuous learning. About You
The ideal candidate will have a strong background in AI/ML, substantial experience building NLP applications for commercial products, demonstrated success leading high-performing teams, and the soft skills to bridge technical and business perspectives.

Minimum qualifications PhD in a relevant discipline or Master's plus comparable experience. 10+ years hands-on building IR / NLP systems for commercial applications. 5+ years of management experience – coaching & developing high-performing teams. Experience designing and implementing solutions with large language models. Experience innovating state-of-the-art research to solve applied, real-world problems. Outstanding communication and analytical skills. Preferred qualifications Experience building solutions for legal research (case law retrieval, citation analysis, document review or drafting, e.g.). Experience designing taxonomies or knowledge graphs for complex domains. Relevant publications at ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD, or similar. What's in it For You?
You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles. Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance. Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion. Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company. Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually. Purpose Driven Work: We help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. In the United States, Thomson Reuters offers a comprehensive benefits package to our employees, including market competitive health, dental, vision, and life insurance programs.

Accessibility
As a global business, we rely on diversity of culture and thought to deliver on our goals. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

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Nominal Salary: To be agreed

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