Overview
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, academic environment driven by real-world problems.
Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We focus on research and development, with emphasis 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 are:
* LLM Training (Continued Pretraining, 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, CoT pipelines, Tool use & API calling, etc.)
* Evaluation (Benchmarks, Human-in-the-loop, red teaming/Adversarial Testing, Hallucination detection, ...)
We work collaboratively with TR Labs (TR’s 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 pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by state-of-the-art technical infrastructure. Through our unique institutional experience, we have access to many subject matter experts involved in data collection, testing and evaluation of trained models.
About the role
In this opportunity, as Research Scientist Manager you will:
* Lead: You will be involved in strategic planning, hiring and management in foundational research, providing opportunities to mentor, lead, and help reports grow and contribute to the wider group.
* Innovate: Work at the cutting edge of AI Research with rich data sources. Help optimize data collection & annotation with model training and expert evaluation, and develop novel performance-driven data sub-selection methods with the latest training insights.
* Experiment and Develop: Involved in the full research and model development lifecycle, brainstorming, coding, testing, and delivering high-quality reports at leading international academic venues.
* Collaborate: Work with a collaborative global team of research engineers within Thomson Reuters and with academic partners at world-leading universities.
* Communicate: Share technical findings with the wider community through seminars, lectures, conferences and/or publications and/or technical assets (data & models).
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 (e.g., through student supervision) or industry.
* Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL) with focus on training data curation, synthetic data generation, etc.
* 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 clearly, both orally and in writing.
* Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems.
* Good social skills with the ability to motivate, inspire and mentor team members. Comfortable 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 / AI systems in academia or industry.
* Extensive experience with deep learning and large-scale model training.
* Extensive experience working with LLM training data, ideally by being involved in the training of large-scale foundation models.
* Strong software and/or infrastructure engineering skills and ensuring well-managed software delivery, as evidenced by code contributions to open-source libraries or 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. We have access to extensive data across legal, regulatory, news, and tax domains and provide access to major cloud platforms for researchers and engineers.
* Competitive compensation & benefits packages: The opportunity to earn while learning new skills.
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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) for office-based roles while remaining digitally and physically connected.
* Flexibility & Work-Life Balance: Flex My Way policies to help manage personal and professional responsibilities, including work from anywhere for up to 8 weeks per year.
* Career Development and Growth: Grow through a culture of continuous learning and skill development; our Grow My Way program supports your growth and leadership in an AI-enabled future.
* Industry Competitive Benefits: Comprehensive plans including flexible vacation, mental health days, Headspace access, retirement savings, tuition reimbursement, and wellness resources.
* Culture: Global reputation for inclusion, flexibility, work-life balance, and delivering value. Our values: Obsess over Customers, Compete to Win, Challenge Thinking, Act Fast / Learn Fast, Stronger Together.
* Social Impact: Two paid volunteer days per year and opportunities to engage in pro-bono and ESG initiatives.
* Making a Real-World Impact: We help customers pursue justice, truth, and transparency and support the rule of law and informed decision-making.
About Us
Thomson Reuters informs how forward-looking decisions are made, combining trusted content and technology. We serve professionals across legal, tax, accounting, compliance, government, and media. Reuters, part of Thomson Reuters, is a leading provider of trusted journalism and news.
We are 26,000 employees across 70+ countries, offering flexible work environments. We value objectivity, accuracy, fairness, and transparency. Join us to shape industries that move society forward.
We seek talented employees worldwide, regardless of race, color, sex/gender, pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, veteran status, or any other protected classification. Thomson Reuters is 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. More information on requesting an accommodation can be provided. Learn more about fraud prevention and about Thomson Reuters at thomsonreuters.com.
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