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- Tasks: Lead innovative AI research and manage a diverse team of experts in machine learning.
- Company: Join Thomson Reuters Labs, a leader in foundational machine learning research.
- Benefits: Enjoy competitive pay, flexible work options, and comprehensive health benefits.
- Why this job: Make a real-world impact by developing cutting-edge AI systems with vast data resources.
- Qualifications: PhD in relevant field and 3+ years leading ML/NLP teams required.
- Other info: Collaborative environment with opportunities for career growth and continuous learning.
The predicted salary is between 48000 - 72000 ÂŁ per year.
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
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)
- Data‑centric Machine Learning (Synthetic Data, Curriculum Learning, Learned datamixtures, 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 both 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 the 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 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 company’s 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 work at the very cutting edge of AI Research at an institution with some of the richest data sources in the world. Through your work, you will help us make the best use of this resource, in a dynamic flywheel that connects data collection & annotation with model training and expert evaluation, helping us continuously improve our training data. You will also develop novel performance‑driven data sub‑selection methods together with the latest training insights from our researchers.
- 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
You\’re a fit for the role if your background includes:
- 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 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 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 / AI systems in academia (e.g. through student supervision) 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 (e.g. startup, industry, or extensive opensource 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, Microsoft 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 60,000 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
What’s in it For You?
- Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2‑3 days a week in the office depending on the role) for our office‑based roles while delivering a seamless experience that is digitally and physically connected.
- Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work‑life balance.
- Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real‑world solutions. Our Grow My Way programming and skills‑first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI‑enabled future.
- Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company‑wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
- Culture: Globally recognized, award‑winning reputation for inclusion and belonging, flexibility, work‑life balance, and more. We live by our values: Obs sess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
- Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro‑bon o consulting projects and Environmental, Social, and Governance (ESG) initiatives.
- Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
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.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
Equality, Diversity & Inclusion
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.
Learn more on how to protect yourself from fraudulent job postings here.
More information about Thomson Reuters can be found on thomsonreuters.com.
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Manager, Lead Research Scientist, Training Data (Foundational Research) employer: TRSS
Contact Detail:
TRSS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manager, Lead Research Scientist, Training Data (Foundational Research)
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant meetups, and engage with professionals on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by researching the company and its projects. Familiarise yourself with their recent work in AI and machine learning. This shows you're genuinely interested and ready to contribute to their mission.
✨Tip Number 3
Practice your pitch! Be ready to explain your experience and how it aligns with the role. Highlight your leadership skills and any innovative projects you've led, especially those related to LLMs or data-centric ML.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining our team at Thomson Reuters Labs.
We think you need these skills to ace Manager, Lead Research Scientist, Training Data (Foundational Research)
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for foundational machine learning research shine through. We want to see your curiosity and how it drives your work in AI systems.
Tailor Your CV: Make sure your CV highlights relevant experience in ML/NLP/AI systems. We’re looking for specific examples of your leadership and innovation in these areas, so don’t hold back!
Be Clear and Concise: In your written application, clarity is key. Use straightforward language to explain your research findings and contributions. We appreciate a well-structured narrative that’s easy to follow.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at TRSS
✨Know Your Research
Before the interview, dive deep into Thomson Reuters' recent projects and publications. Familiarise yourself with their foundational research focus, especially in areas like LLM training and data-centric machine learning. This will not only show your genuine interest but also help you discuss how your experience aligns with their goals.
✨Showcase Your Leadership Skills
As a Manager, you'll need to inspire and guide your team. Prepare examples of how you've successfully led teams in the past, particularly in complex ML or AI projects. Highlight your mentoring experiences and how you've helped team members grow, as this is crucial for the role.
✨Prepare for Technical Questions
Expect to be quizzed on your technical expertise, especially around deep learning frameworks and large-scale model training. Brush up on your knowledge of tools like PyTorch or TensorFlow, and be ready to discuss specific algorithms or techniques you've used in your previous work.
✨Communicate Clearly
Effective communication is key in this role. Practice explaining complex concepts in simple terms, as you'll need to share findings with both technical and non-technical audiences. Consider preparing a brief presentation of your past research to demonstrate your ability to convey information clearly and engagingly.
