Thomson Reuters (NYSE / TSX: TRI) informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. The company serves professionals across legal, tax, accounting, compliance, government, and media. Its products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. For more information, visit tr.com.
Senior Director, Applied Research
Location
United States
Posted
6 days ago
Salary
Not specified
No structured requirement data.
Job Description
Role Description
Want to work at the forefront of applied research in an industry setting? Like the sound of a role that lets you put your research into practice and 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 a strong product mindset to lead a high-performing team developing transformative solutions for tax, audit, and accounting professionals.
This role carries significant scope to influence product strategy and shape the next generation of AI capabilities for Thomson Reuters' flagship tax products.
As a Senior Director, Applied Research, you will:
- Design and develop AI features that reimagine customer workflows.
- Inform 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 talented individuals, fostering a culture of innovation, collaboration, and continuous learning.
Qualifications
- PhD in Computer Science, Machine Learning, or a related field — or a Master's degree plus comparable experience.
- Demonstrable, hands-on experience building AI/ML systems for commercial applications.
- Demonstrable management experience, including coaching and 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.
Requirements
- Experience building solutions for information retrieval in complex vertical domains, such as 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 venues.
Benefits
- Flex My Way: Supportive workplace policies designed to help manage personal and professional responsibilities.
- Flexible work arrangements, including work from anywhere for up to 8 weeks per year.
- Career Development and Growth: Continuous learning and skill development opportunities.
- Industry Competitive Benefits: Comprehensive benefit plans including flexible vacation, Mental Health Days, retirement savings, and tuition reimbursement.
- A globally recognized culture for inclusion and belonging.
- Social Impact: Opportunities for paid volunteer days and involvement in pro-bono consulting projects.
- Comprehensive benefits package including health, dental, vision, disability, and life insurance programs.
- Competitive 401k plan with company match.
- Paid time off including parental leave and sabbatical leave.
Job Requirements
- PhD in Computer Science, Machine Learning, or a related field — or a Master's degree plus comparable experience.
- Demonstrable, hands-on experience building AI/ML systems for commercial applications.
- Demonstrable management experience, including coaching and 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, such as 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 venues.
Benefits
- Flex My Way: Supportive workplace policies designed to help manage personal and professional responsibilities.
- Flexible work arrangements, including work from anywhere for up to 8 weeks per year.
- Career Development and Growth: Continuous learning and skill development opportunities.
- Industry Competitive Benefits: Comprehensive benefit plans including flexible vacation, Mental Health Days, retirement savings, and tuition reimbursement.
- A globally recognized culture for inclusion and belonging.
- Social Impact: Opportunities for paid volunteer days and involvement in pro-bono consulting projects.
- Comprehensive benefits package including health, dental, vision, disability, and life insurance programs.
- Competitive 401k plan with company match.
- Paid time off including parental leave and sabbatical leave.
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