Applied Scientist Intern - Summer 2026

Thomson Reuters • Eagan, MN

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. 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 relevant discipline or Master’s program with research experience.
• 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.
• Experienced in one or more programming languages (preferably Python) and have 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 the ability to work collaboratively as part of a team.

Nice To Haves

• Excited about the opportunity and eager to learn.

Responsibilities

• Experiment and Develop: You can be involved in the entire model development lifecycle, building, testing and delivering high-quality solutions.
• Collaborate: Working on a collaborative cross-functional team, 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 and work on solving real-world challenges.

Benefits

• Flexibility & Work-Life Balance: Supportive workplace policies designed to help manage personal and professional responsibilities.
• Career Development and Growth: Continuous learning and skill development opportunities.
• Industry Competitive Benefits: Comprehensive benefit plans including paid leave, mental health days, retirement savings, tuition reimbursement, and resources for wellbeing.
• Culture: Award-winning reputation for inclusion and belonging, flexibility, and work-life balance.
• Social Impact: Opportunities for community involvement and pro-bono consulting projects.
• Making a Real-World Impact: Helping customers pursue justice, truth, and transparency.

What This Job Offers

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