Manager, Lead Research Scientist, LLM Agents

Manager, Lead Research Scientist, LLM Agents (Foundational Research) Join to apply for the Manager, Lead Research Scientist, LLM Agents (Foundational Research) role at Thomson Reuters. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We focus on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for managers who can inspire and guide their teams, participate in designing, coding, conducting experiments, and translating findings into concrete deliverables. Our focus areas include: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling, etc.) Data-centric Machine Learning (Synthetic Data, Curriculum Learning, Learned datamixtures, etc.) Evaluation (Benchmarks, Human-in-the-loop, red teaming/Adversarial Testing, Hallucination detection, ...) As a Research Scientist Manager, you will lead a diverse global team of experts and have the opportunity to publish your research findings as well as contribute to proprietary AI model research and development. Thomson Reuters Labs collaborates with TR Labs, academic partners, and subject matter experts to deliver data-driven ML solutions and innovative models. About the Role Lead: Involved in strategic planning, hiring, and management in foundational research. Mentor and guide direct reports and contribute to the wider group. Innovate: Develop state-of-the-art Agent AI/LLM Agent approaches and solve real-world challenges using rich data in agentic contexts. Experiment and Develop: Engage in the research and model development lifecycle, including brainstorming, coding, testing, and delivering high-quality reports for conferences. Collaborate: Work with a global team of research engineers within Thomson Reuters and academic partners. Communicate: Share technical findings with the wider community through seminars, conferences, publications, and technical assets. About You Required qualifications: 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 (supervision, industry experience, leading academic initiatives, etc.). Excellent communication skills to report and present research findings clearly, orally and in writing. Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions. Good social skills and ability to mentor team members. Comfortable in fast-paced, agile environments, managing uncertainty and ambiguity. Preferred qualifications: High-impact publications or influence in the research community. 5+ years of hands-on experience leading teams building advanced ML / NLP / IR systems in academia or industry. Extensive experience with deep learning and large-scale model training. Experience with agent-based systems, tool-using AI, or multi-agent coordination in LLM contexts. Strong software or infrastructure engineering skills and evidence of well-managed software delivery. Experience training large-scale models over distributed nodes with cloud tools (AWS, Azure, Google Cloud). What’s in it for you Hybrid work model with flexible office days. Flexibility and work-life balance policies, including remote work options. Career development and growth opportunities with a culture of continuous learning. Competitive benefits, including vacation, health resources, and retirement savings. Inclusive culture with values focused on customers, collaboration, and fast, thoughtful action. Social impact opportunities and ESG initiatives. About Us Thomson Reuters informs the way forward by combining trusted content and technology for professionals across legal, tax, accounting, compliance, government, and media. We are an Equal Employment Opportunity Employer and provide reasonable accommodations as required by law. Learn more about Thomson Reuters at thomsonreuters.com. Seniority level: Mid-Senior level Employment type: Full-time Job function: Other #J-18808-Ljbffr