Manager, Lead Research Scientist, LLM Agents (Foundational Research)

Are you a curious and open-minded individual with an interest in conducting state-of-theart foundational machine learning research 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. We are focused 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 are willing to roll up their sleeves and participate in designing coding conducting experiments and translating findings into concrete deliverables. Our focus areas are:

• LLM Training (Continued Pretraining Instruction Tuning Reinforcement Learning Alignment Distributed Training Efficient ML techniques)

• Post-training techniques for planning reasoning & complex workflows (e.g. 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 ...)

We work collaboratively both with TR Labs (TRs applied research division) academic partners at world-leading research institutions and subject matter experts with decades of experience. We experiment prototype test and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by stateof-the-art technical infrastructure. Through our unique institutional experience we have access to an unprecedented number of subject matter experts involved in data collection testing and evaluation of trained models.

As a Research Scientist Manager you will play a key part in leading a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI as well as Engineering to drive the companys leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters Labs is known for consistently delivering successful data-driven ML solutions in pursuit of academic excellence and support of high-growth products that serve Thomson Reuters customers in new and exciting ways.

About the role
In this opportunity as Research Scientist Manager you will:

• Lead: You will be involved in strategic planning hiring and the management in foundational research. This gives you the opportunity to master your management skills mentor lead and help direct reports grow and contribute to the wider group.

• Innovate: You will innovate and create new state-of-the-art Agent AI/LLM Agent approaches at the cutting edge of AI research. You will contribute ideas and work on solving real-world challenges using a wealth of data in agentic contexts.

• Experiment and Develop: You are involved in the entire research & model development lifecycle brainstorming coding testing and delivering high-quality reports at leading international academic conferences.

• Collaborate: Working on a collaborative global team of research engineers both within Thomson Reuters and our academic patterns at world-leading universities.

• Communicate: Actively engage in sharing our technical findings with the wider community through contributions to seminars lectures conferences and/or the sharing of publications and/or technical assets (data & models).

About you
Youre a fit for the role if your background includes:

Required qualifications:

• PhD in a relevant discipline.

• 3 years of hands-on experience leading teams building advanced ML / NLP / AI systems in academia (e.g. through student supervision) or industry.

• Strong publication record in top-tier conferences (e.g. NeurIPS ICML ICLR ACL EMNLP NAACL ICLR) ) with specific 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 (e.g. supervision industry experience leading academic initiatives ).

• 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 to relevant problems.

• Good social skills and ability to motivate inspire and mentor team members.

• Comfortable in working in fast-paced agile environments managing uncertainty and ambiguity.

Preferred qualifications:

• High-impact publications in top-tier conferences or other influence in the research community.

• 5 years of hands-on experience leading teams building advanced ML / NLP / IR systems in academia (e.g. through student supervision) or for commercial applications.

• Extensive experience with deep learning and large-scale model training.

• Extensive experience working on agent-based systems tool-using AI or multi-agent coordination in LLM contexts (e.g. startup industry or extensive open-source experience).

• Strong software and/or infrastructure engineering skills and ensuring well-managed software delivery as evidenced by code contributions to popular open-source libraries or writing production code.

• Experience training large-scale models over distributed nodes with cloud tools such as Amazon AWS MS Azure or Google Cloud.

You will enjoy:

• Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods and technologies.

• Plenty of data compute and high-impact problems: Our scientists and engineers get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency but our company is also

• the leading source of information for legal corporate and tax & accounting professionals. We have over 60000 TBs worth of legal regulatory news and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers.

• Competitive compensation & benefits packages: The opportunity to earn while learning new skills

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Whats in it For You

About Us

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal tax accounting compliance government and media. Our 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.

As a global business we rely on the unique backgrounds perspectives and experiences of all employees to deliver on our business goals. To ensure we can do that 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. More information on requesting an accommodation here.

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