Manager, Lead Research Scientist, Training Data (Foundational Research) 4 days ago - Be among the first 25 applicants Are you a curious and open‑minded individual with an interest in conducting state‑of‑the‑art foundational machine learning research? Thomson Reuters Labs is seeking Research Scientists with a passion for building complex AI systems in a data‑rich, complex academic environment driven by real‑world problems. Foundational Research Our Dedicated Core Machine Learning Research Division focuses on advanced algorithms and training techniques for large language models (LLMs). We build 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, testing, and translating findings into concrete deliverables. Our focus areas include:

LLM Training (continued pre‑training, instruction tuning, reinforcement learning alignment, distributed training, efficient ML techniques) Data‑centric Machine Learning (synthetic data, curriculum learning, learned data mixtures, etc.) Post‑training techniques for planning, reasoning & complex workflows (e.g., reasoning models, LLMs + knowledge graphs, test‑time compute, chain‑of‑thought pipelines, tool use & API calling, etc.) Evaluation (benchmarks, human‑in‑the‑loop, red‑team/ adversarial testing, hallucination detection, etc.)

We collaborate with Thomson Reuters Labs, academic partners at world‑leading research institutions, and subject‑matter experts. We experiment, prototype, test, and deliver ideas to build smarter, more valuable models trained on an unprecedented wealth of data and powered by state‑of‑the‑art technical infrastructure. About The Role In this opportunity, as Research Scientist Manager you will:

Lead: Involved in strategic planning, hiring, and management of foundational research. Mentor, lead, and help direct reports grow and contribute to the wider group. Innovate: Work at the cutting edge of AI research with rich data sources. Help maximize data collection, annotation, model training, and evaluation to continuously improve training data. Develop novel performance‑driven data sub‑selection methods with latest training insights. Experiment and Develop: Involved in the entire research & model development lifecycle—brainstorming, coding, testing, and delivering high‑quality reports at leading international academic conferences. Collaborate: Work on a collaborative global team of research engineers within Thomson Reuters and across world‑leading universities. Communicate: Actively share technical findings with the wider community through seminars, lectures, conferences, and publications.

About You You're 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 or industry. Strong publication record in top‑tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL) focusing on training data curation, synthetic data generation, etc. Familiarity with deep learning frameworks (e.g., PyTorch, JAX, TensorFlow). Experience in ML research beyond completing a PhD. Excellent communication skills for reporting and presenting 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 motivate, inspire, and mentor team members. Comfortable 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/AI systems in academia or industry. Extensive experience with deep learning and large‑scale model training. Experience with LLM training data, ideally by involvement in training large‑scale foundation models. Strong software and/or infrastructure engineering skills, demonstrated by code contributions to popular open‑source libraries or production code. Experience training large‑scale models over distributed nodes with cloud tools such as AWS, Azure, or GCP.

You Will Enjoy

Learning and development: On‑the‑job coaching and learning opportunities with cutting‑edge methods and technologies. Plenty of data, compute, and high‑impact problems: Explore large datasets and discover new capabilities and insights. Competitive compensation & benefits packages: The opportunity to earn while learning new skills.

What’s in it For You?

Hybrid Work Model: Flexible hybrid working environment (2‑3 days a week in the office depending on the role) while delivering a seamless digitally and physically connected experience. Flexibility & Work‑Life Balance: Flexible work arrangements, work from anywhere for up to 8 weeks per year, and supportive policies (Flex My Way) to manage personal and professional responsibilities. Career Development and Growth: Culture of continuous learning and skill development, Grow My Way programming, and skills‑first approach for growth, leadership, and AI‑enabled future. Industry Competitive Benefits: Flexible vacation, two company‑wide mental health days off, access to Headspace, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized award‑winning reputation for inclusion, belonging, flexibility, work‑life balance, and strong values (Obsess over our Customers, Compete to Win, Challenge Your Thinking, Act Fast / Learn Fast, Stronger Together). Social Impact: Two paid volunteer days off annually, pro‑bono consulting projects, and ESG initiatives. Making a Real‑World Impact: Help customers pursue justice, truth, and transparency by supporting the rule of law, catching bad actors, and providing trusted, unbiased information worldwide.

About Us 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 specialized software and insights to empower data‑driven decision making. We are powered by the talents of 26,000 employees across more than 70 countries. We consider it our duty to pursue objectivity, accuracy, fairness, and transparency. Thriving on diversity and inclusion, we seek qualified employees regardless of race, color, sex/gender, pregnancy, gender identity, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or other protected classification under applicable law. Thomson Reuters is an Equal Employment Opportunity Employer, a drug‑free workplace, and provides reasonable accommodations for qualified individuals with disabilities and sincerely held religious beliefs. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com. #J-18808-Ljbffr