Job Description

Are you a curious and open-minded undergraduate or Master's student with an interest in software engineering and technologies like Cloud Computing, Machine Learning, Natural Language Processing, Generative AI and AI Agents? Then come and apply your skills and passion for technology at Thomson Reuters TR labs/AI Platform . You will work with a team driving innovation throughout the entire software lifecycle - from defining specifications and architecting designs to writing efficient, maintainable code. It's your chance to contribute to TR software that legal professionals use across the globe.

What does TR Labs/AI Platform do?

We experiment, we build, we deliver. We obsess over our customers through applied research and development of new products and technologies. In TR Labs/AI Platform, we act fast and learn fast, innovating collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We compete vigorously with a wide range of projects today, while investing in long-term research for the future. Come prepared to challenge your thinking and contribute back by challenging your colleagues!



As a Research Engineering Intern, you will be part of a diverse and interdisciplinary global team of experts. You will work with AI practitioners in Machine Learning, Information Retrieval, and Natural Language Processing, as well as Engineering and User Experience Design specialists to drive the company's digital and AI transformation. TR Labs/AI Platform is renowned for consistently delivering successful data-driven AI solutions in support of high-growth products for case law, practical law, and fraud detection.

About The Role

As a Research Engineering Intern:

Develop and Delivery - You will apply modern software development practices to building, testing and delivering high-quality solutions. You will be involved in the entire software development lifecycle. Build Scalable ML Solutions - You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms. You will develop high performing scalable systems in the context of large online delivery environments. Collaborate - Working on a collaborative cross-functional team of applied scientists and engineers, you will learn from and partner with colleagues across the globe. Innovate - You will have the opportunity to try new approaches and learn new technologies. You will contribute ideas, create Minimum Viable Products, and work on solving real-world challenges.


The internship duration at Thomson Reuters In TR Labs/AI Platform is typically six months with a flexible start date aligned with your availability. Proposed timeframe: March-September 2026 (to be discussed). We offer a flexible hybrid working environment, with in-office attendance 3 days a week.

About You

You are a fit for the Research Engineering Intern role if your background includes:


Required qualifications

Pursuing a Master's or Bachelor's degree in Computer Science, Information Technology or a related discipline. Proficiency in Python and a deep understanding of related software development stacks and ecosystems. Ability to write clean, reusable, maintainable and well-tested code. Experience with using code collaboration and versioning systems such as GitHub. Desire to learn and embrace new and emerging technologies. Strong communication and collaboration skills.


Preferred qualifications

Understanding of CI/CD, DevOps, and SDLC concepts for application development. Understanding of Natural Language Processing, and/or Machine Learning methods including Large Language Models. Familiarity with cloud platforms (any of AWS, Azure, Google Cloud) and a basic understanding of MLOps tools and practices. Familiarity working with unstructured datasets and knowledge about tools and techniques for data cleaning and processing. Keen interest in real-world applications and impact.


If you are excited about this opportunity, meet most of the above criteria, and are eager to learn, we want to hear from you!



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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: Obsess 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-bono 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.


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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More information about Thomson Reuters can be found on thomsonreuters.com.