ML/NLP Scientist Intern - Build Real-World AI

Thomson Reuters; Ann Arbor (MI); On-site; USD 39,000 - 56,000; Full time

Job summary

Thomson Reuters Labs is seeking an Applied Scientist Intern to work on ML/NLP problems using state-of-the-art techniques. The role emphasizes experimentation, development, and collaboration with a global team in a fast-paced lab environment.

Dates are January 11, 2027 to July 12, 2027, with opportunities to contribute to real-world challenges across legal, tax, accounting, government, and news domains. This is an on-site internship in the United States.

Qualifications

• You are enrolled in a Master’s or PhD program with research experience.
• You have experience with NLP and ML methods, incl. LLMs.
• You know model training, fine-tuning, and evaluation in ML/LLMs.
• You code in Python and have cloud experience (AWS).
• You can work with unstructured data and clean/process data.

Responsibilities

• Experiment and develop high-quality ML/NLP solutions across the model lifecycle.
• Collaborate with a cross-functional team across global locations.
• Contribute ideas and work on solving real-world challenges using state-of-the-art methods.

Skills

Python

ML/NLP

Cloud AWS

Collaboration

Education

Pursuing MSc/PhD

Research experience

Tools

PyTorch

TensorFlow

Scikit-learn

LangChain

HuggingFace

SpaCy

Job description

Thomson Reuters Labs is seeking an Applied Scientist Intern to work on ML/NLP problems using state-of-the-art techniques. The role emphasizes experimentation, development, and collaboration with a global team in a fast-paced lab environment.

Dates are January 11, 2027 to July 12, 2027, with opportunities to contribute to real-world challenges across legal, tax, accounting, government, and news domains. This is an on-site internship in the United States.