Applied Scientist Intern - Summer 2026

Thomson Reuters

136d

About The Position

Thomson Reuters Labs in Minneapolis, Minnesota is seeking a ML/NLP scientist intern with a passion for problem-solving using state-of-the-art Machine Learning and Natural Language Processing techniques. We experiment, we build, we deliver. We support the organization and our customers through applied research and development of new products and technologies. The Labs innovate collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. As an Applied Scientist Intern, you will be part of a diverse and interdisciplinary global team of experts. We hire specialists in Information Retrieval, Natural Language Processing, and Machine Learning, 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.

Requirements

• Currently enrolled in a PhD program or Master’s program with research experience in a relevant discipline.
• Understanding and experience with Natural Language Processing and/or Machine Learning methods including Large Language Models.
• Experience creating and evaluating experiments related to Machine Learning or Large Language Models.
• Proficiency in one or more programming languages (preferably Python) and experience working in the Cloud (preferably AWS).
• Experience with ML/NLP libraries such as PyTorch, TensorFlow, Scikit-learn, spaCy, LangChain, and HuggingFace.
• Comfortable working with unstructured datasets and knowledgeable about tools and techniques for data cleaning and processing.
• Good communication skills and ability to work collaboratively as part of a team.

Responsibilities

• Experiment and develop high-quality solutions throughout the model development lifecycle.
• Collaborate with a cross-functional team and learn from colleagues across the globe.
• Innovate by trying new approaches and learning new technologies.
• Contribute ideas and work on solving real-world challenges.

Benefits

• Flexibility & Work-Life Balance through supportive workplace policies.
• Career Development and Growth with continuous learning and skill development.
• Comprehensive benefit plans including paid leave, mental health days, retirement savings, and tuition reimbursement.
• Culture of inclusion and belonging with a commitment to work-life balance.
• Social Impact initiatives with paid volunteer days and opportunities for pro-bono consulting projects.

What This Job Offers

• Career Level: Intern
• Education Level: Master's degree