Thomson Reuters
Applied Scientist Intern
United States of America, San Francisco, California +5 · Hybrid · Internship · Posted Sep 3, 2026
- Location
- United States of America, San Francisco, California
United States of America, Frisco, Texas
United States of America, New York, New York
Canada, Toronto, Ontario
United States of America, Ann Arbor, Michigan
United States of America, Eagan, Minnesota - Education
- Currently enrolled in a relevant PhD program or a Master’s program with research experience.
About the job
Develop, test, and deliver machine-learning and natural-language-processing solutions as part of Thomson Reuters Labs’ applied research team.
What you'll do
- Participate in the model development lifecycle, including building, testing, and delivering solutions.
- Collaborate with cross-functional colleagues across the globe.
- Contribute ideas, experiment with new approaches, and solve real-world challenges.
What they ask for
- Currently enrolled in a relevant PhD program, or a Master’s program with research experience.
- Understanding and experience with NLP and/or machine-learning methods, including large language models.
- Experience training and fine-tuning models and evaluating ML or LLM experiments.
- Programming experience and cloud experience; Python and AWS are preferred.
Nice to have
- Experience with ML/NLP libraries such as PyTorch, TensorFlow, Scikit-learn, spaCy, LangChain, or HuggingFace.
- Experience working with unstructured datasets and data-cleaning and processing tools and techniques.
Pay
$0 USD - $0 USD (base salary); $0.00 CAD - $0.00 CAD (base salary)
Tools
Python, AWS, PyTorch, TensorFlow, Scikit-learn, spaCy, LangChain, HuggingFace
AI focus
Apply machine learning, NLP, and large language models to develop and evaluate solutions; AI is also used to support recruitment screening, with human review.
Model-written summary · the original posting is authoritative