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Job Details
Summary:
Are you excited about working at the forefront of applied research in an industrial research lab setting? Would you like to advance the state of the art in AI? Thomson Reuters Labs is seeking Applied Research Interns with a passion for developing state-of-the-art techniques to improve generative AI modeling related to building long-term memory features in AI agents, with applications in legal tech ranging from deep research to long-form content generation.
What does Thomson Reuters Labs do? We experiment, we build, we deliver. We work closely with product and domain experts to identify compelling solutions at the intersection of user need and technical feasibility. Our team is designing the next generation of expert systems for legal, tax, and risk compliance. You’ll leverage state-of-the-art large language models on a robust AI platform to develop agents and tools that transform the future of work for legal professionals.
As an Applied Research Intern, you will be part of a diverse and interdisciplinary global team of experts. We hire specialists in ML/NLP/IR, as well as Engineering and Design, to drive the company’s digital and AI transformation. Thomson Reuters Labs is known for consistently delivering successful data-driven Artificial Intelligence solutions in support of high-growth products that serve Thomson Reuters customers in new and exciting ways.
The internship at Thomson Reuters Labs typically lasts 6 to 8 months and may align with one or two academic semesters, depending on your availability.
About the Role:
As an AI Applied Research Intern, you will work with a cross-functional team at the intersection of science, product, and engineering to:
Innovate: Research state-of-the-art techniques for developing and maintaining long-term memory functionality in AI-agentic systems. You will have the opportunity to try new approaches and learn new technologies. You will contribute ideas and work on solving real-world challenges, ranging from deep research on legal documents to drafting long-form documents in the space of litigation and transactional law.
Experiment and Develop: You can be involved in the entire model development lifecycle, building, testing, and delivering high-quality solutions. You will gain hands-on experience in optimizing datasets for agent development, model training and adaptation, and evaluation, and developing automated techniques for the design and evaluation of AI agents.
Collaborate: Working on a collaborative cross-functional team, you will learn from and partner with colleagues across the globe.
About you:
This is our wish list. We understand that few people check every box. If you are excited about this opportunity, meet most of the following criteria, and are eager to learn, we want to hear from you!
Basic qualifications:
A PhD student (or a recent MSc graduate) in Computer Science, Engineering, Statistics, Mathematics, or other quantitative disciplines.
Have a solid understanding and experience with Natural Language Processing (NLP), Information Retrieval (IR), and Machine Learning (ML) methods, including classic methods, deep learning (DL), and large language models (LLM).
Experienced in one or more programming languages (preferably Python) and have experience working in the collaborative (e.g., Git) and Cloud (preferably AWS) environments.
Have experience with ML/DL/NLP/LLM libraries such as PyTorch, TensorFlow, Scikit-learn, spaCy, HuggingFace, LangChain, LangGraph, Pydantic AI, etc.
Are comfortable working with unstructured datasets and are knowledgeable about tools and techniques for data cleaning and processing.
Have good communication skills and the ability to work collaboratively as part of a team
Publication on a relevant topic and at NLP/IR/ML venues (ACL, EMNLP, NAACL, NeurIPS, SIGIR, KDD, ICLR, ICML, etc.).
Preferred Qualifications:
The ideal candidate will have a background in NLP, experience building with LLMs, Python proficiency for rapid prototyping, and the soft skills to bridge technical and business perspectives
Experience working on legal AI systems (e.g., legal drafting, contract analysis, legal research, etc.)
A law degree (J.D.), paralegal experience, etc. Domain knowledge in legal, tax, or accounting.
#LI-SS
What’s in it For You?
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.
Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations. For Ontario, Canada, the base compensation range for this role is $50.00 CAD - $55.00 CAD. Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.
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
Who we are Thomson Reuters informs the way forward by delivering trusted content and technology that people and organizations need to make the... Read more