Sr Director, Applied Research
6300, Zug, Kanton Zug, Switzerland
Listed on 2026-02-28
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IT/Tech
AI Engineer, Data Scientist
Sr Director, Applied Research
Wantto work at the forefront of applied research in an industry setting? Like the sound of a role that allows you to apply your findings and put your research into practice to shape the future of AI-driven products? Thomson Reuters Labs might be the place for you.
Thomson Reuters Labs is seeking an experienced applied scientist with strong product mindset to lead a high‑performing team developing transformative solutions for tax, audit, and accounting professionals.
What does TR Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research and innovation. We work closely with product and domain experts to identify compelling solutions at the intersection of custom er needs and technical feasibility. We partner closely with product engineering teams to deliver real value in high‑stakes settings, where accuracy and verifiability are essential.
Our team is designing the next generation of agentic AI for tax & accounting professionals around the globe. This is an opportunity to create entirely new workflows addressing fundamental challenges in the industry. TR has all the ingredients from annotated tax law to robust tax engines and end‑to‑end solutions for data management, filing, audit, and compliance. Come join the R&D team for Thomson Reuters’ portfolio of tax products, including Checkpoint, CoCounsel Tax, and One Source.
Aboutthe Role
This role has significant scope to influence product strategy and design the next generation of AI capabilities for Thomson Reuters’ flagship tax products.
- Design and develop AI features that reimagine customer workflows
- Inform the business and Labs leadership on long‑term AI strategy and partnerships
- Influence product strategy with high‑value insights around usage, quality, and customer feedback, as well as deep technical knowledge and experience building successful AI/ML products
- Continuously improve ways of working with cross‑functional teams, in a fast‑paced tightly embedded R&D cycle
- Engage subject matter experts in concept development and design workshops
- Inspire a team of highly intellectual individuals, fostering a culture of innovation, collaboration, and continuous learning
The ideal candidate will have a strong background in AI/ML, substantial experience building language technology for commercial products, demonstrated success leading high‑performing teams, and the soft skills to bridge both technical and business perspectives.
Minimum qualifications- PhD in Computer Science/ML or Master’s plus comparable experience
- Demonstrable, hands‑on experience building AI/ML systems for commercial applications
- Demonstrable management experience – coaching & developing high‑performing teams
- Experience designing and implementing solutions with large language models
- Experience innovating state‑of‑the‑art solutions to solve challenging real‑world problems
- Outstanding communication and analytical skills
- Experience building solutions for information retrieval in complex vertical domains (e.g., involving taxonomy induction, document understanding, agentic search, knowledge graphs, and/or neuro‑symbolic approaches)
- Experience with AI agent evaluation, language model training with verifiable rewards, and / or synthetic data generation
- Relevant publications at ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD, or similar
- 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 while delivering a seamless experience that is digitally and physically connected.
- Flexibility & Work‑Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work‑life balance.
- Career Development and Growth: By fostering a culture of continuous learning and skill development, we…
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