Manager AI and Applied Research

Thomson Reuters

99d • $157,500 - $337,000

About The Position

Thomson Reuters Labs in Toronto is seeking scientists with a passion for solving problems using state-of-the-art information retrieval, natural language processing and generative AI, to lead a team of high performing ML scientists and research engineers. 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 responsible for designing the next generation of tax, accounting and audit compliance software for Tax Professionals and Corporates in the US, and across the global markets. We own AI innovation for Thomson Reuters’ core tax products, including UltraTax, Cloud Audit Suit, SurePrep and ONESOURCE. We work with the latest LLM prompting and agentic AI approaches to build cutting edge products.

Requirements

• PhD in a relevant discipline or Master’s plus a comparable level of experience.
• 8+ years hands-on experience building IR / NLP systems for commercial applications.
• Strong experience in GenAI/Rag/LLM.
• Prior management experience – coaching & developing high-performing teams.
• Strong track record of delivering AI solutions at scale in enterprise environments.
• Ability to influence senior stakeholders and align AI initiatives with business goals.
• Experience delivering minimum viable products in a large enterprise environment.
• Demonstrable experience translating complex problems into successful AI applications.
• Experience writing production code and ensuring well-managed software delivery.
• Expertise in several of the following areas: robust Python development, MLOps, containerization, cloud infrastructure (AWS and Azure), advanced search and recommendation technology, orchestration of ML pipelines for real-time inference, microservices architecture, model monitoring and governance.
• Outstanding communication, problem solving, and analysis skills.

Nice To Haves

• Experience innovating state-of-the-art research to solve real-world problems.
• Experience designing and implementing solutions with large language models.
• Relevant publications at ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD, or similar.
• Advanced proficiency in Python, Java, or Scala.

Responsibilities

• Manage a team of Applied Scientists and Research Engineers, ensuring a high-performance culture.
• Nurture team’s career development and manage performance expectations through servant leadership and active coaching.
• Build, mentor, and grow a high-performing team of applied scientists.
• Translate state-of-the-art AI research into scalable, production-ready solutions.
• Partner with Product and Engineering leaders to define and execute the AI-driven product roadmap.
• Oversee scaling of experiment and LLMOps platforms, balancing reusability and innovation.
• Explore emerging technologies, foster experimentation, and share impact and ideas to both technical and non-technical audiences.

Benefits

• Hybrid Work Model: Flexible hybrid working environment (2-3 days a week in the office).
• Flexibility & Work-Life Balance: Supportive workplace policies for personal and professional responsibilities.
• Career Development and Growth: Continuous learning and skill development opportunities.
• Industry Competitive Benefits: Comprehensive benefit plans including flexible vacation, mental health days, retirement savings, tuition reimbursement, and more.
• Culture: Award-winning reputation for inclusion and belonging, flexibility, work-life balance.
• Social Impact: Opportunities for community involvement and pro-bono consulting projects.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: Ph.D. or professional degree