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About the Role

Thomson Reuters Labs is seeking Research Scientists with a passion for building complex agent-based AI systems in a data-rich, complex academic environment driven by real-world problems. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters, focused on research and development, particularly on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities and are looking for managers who can inspire and guide their teams, participate in designing, coding, conducting experiments, and translating findings into concrete deliverables.

Responsibilities

Lead strategic planning, hiring, and management in foundational research.
Master management skills, mentor, lead, and help direct reports grow.
Innovate and create new state-of-the-art Agent AI/LLM Agent approaches.
Contribute ideas and work on solving real-world challenges using a wealth of data in agentic contexts.
Be involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high-quality reports.
Collaborate on a global team of research engineers both within Thomson Reuters and with academic partners.
Actively share technical findings with the wider community through contributions to seminars, lectures, conferences, and/or publications and technical assets.

Requirements

PhD in a relevant discipline.
3+ years of hands-on experience leading teams building advanced ML / NLP / AI systems in academia or industry.
Strong publication record in top-tier conferences with a focus on agent systems, tool use, or multi-agent coordination.
Familiarity with one or more deep learning frameworks (e.g. pytorch, jax, tensorflow).
Experience in ML Research beyond completing a PhD.
Excellent communication skills to report and present research findings and developments clearly, both orally and in writing.
Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions.
Good social skills and ability to motivate, inspire and mentor team members.
Comfortable in working in fast-paced, agile environments, managing uncertainty and ambiguity.

Skills

Agent AI/LLM Agent approaches
Machine Learning
Natural Language Processing (NLP)
Artificial Intelligence (AI)
Deep learning frameworks (pytorch, jax, tensorflow)
Agent systems
Tool use
Multi-agent coordination
Software engineering
Infrastructure engineering
Large-scale model training
Distributed nodes
Cloud tools (Amazon AWS, MS Azure, Google Cloud)

Location

Hybrid

Work Type

Hybrid
Full-time

Experience Level

3+ years of hands-on experience leading teams
5+ years of hands-on experience leading teams

Education Level

Benefits

On-the-job coaching and learning
Opportunity to work with cutting-edge methods and technologies
Access to large datasets and high-impact problems
Access to all major cloud computing platforms
Competitive compensation & benefits packages
Flexible hybrid working environment
Flexibility & Work-Life Balance (Flex My Way)
Work from anywhere for up to 8 weeks per year
Career Development and Growth (Grow My Way programming)
Industry Competitive Benefits (flexible vacation, mental health days, Headspace app, retirement savings, tuition reimbursement, employee incentive programs)
Globally recognized, award-winning reputation for inclusion and belonging
Social Impact opportunities (paid volunteer days off, pro-bono consulting, ESG initiatives)

About the Company

Thomson Reuters informs the way forward by bringing together trusted content and technology.
We serve professionals across legal, tax, accounting, compliance, government, and media.
Our products combine highly specialized software and insights to empower professionals.
Reuters is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries.
We are committed to objectivity, accuracy, fairness, and transparency.
We are one of the few companies globally that helps its customers pursue justice, truth, and transparency.

Equal Opportunity

As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals.
We seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law.
Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.