ML/NLP Scientist Intern — Hands-on AI & Impact

Thomson Reuters; Ann Arbor (MI); In loco; USD 34.000 - 55.000; Tempo pieno

Vantaggi offerti da questo lavoro

Mental Health Days

Headspace access

Tuition reimbursement

Employee Stock Purchase Plan

Descrizione del lavoro

Thomson Reuters Labs is seeking an Applied Scientist Intern to explore state-of-the-art ML/NLP techniques and solve real-world problems in a global, cross-functional team. The role emphasizes experimentation, development, and collaboration across Thomson Reuters’ Legal, Tax & Accounting, Government, and News segments.

Ideal candidates are pursuing a PhD or Master's with research experience, skilled in Python and ML/NLP libraries, and comfortable working with unstructured data.

Competenze

• Enrolled in a PhD program in a relevant discipline or a Master's with research experience.
• Understanding of Natural Language Processing and/or Machine Learning, incl. Large Language Models.
• Experience with model training, fine-tuning, and evaluating ML experiments.
• Programming experience (preferably Python) and cloud experience (preferably AWS).
• Experience with ML/NLP libraries such as PyTorch, TensorFlow, Scikit-learn, spaCy, LangChain, and HuggingFace.

Mansioni

• Experiment and develop: build, test, and deliver high-quality ML/NLP solutions.
• Collaborate with cross-functional teams across the globe.
• Innovate by trying new approaches and technologies to solve real-world challenges.

Conoscenze

NLP

ML

Python

Data cleaning

Communication

Formazione

PhD candidate

Master's with research

Strumenti

PyTorch

TensorFlow

Scikit-learn

spaCy

LangChain

HuggingFace

Descrizione del lavoro

Thomson Reuters Labs is seeking an Applied Scientist Intern to explore state-of-the-art ML/NLP techniques and solve real-world problems in a global, cross-functional team. The role emphasizes experimentation, development, and collaboration across Thomson Reuters’ Legal, Tax & Accounting, Government, and News segments.

Ideal candidates are pursuing a PhD or Master's with research experience, skilled in Python and ML/NLP libraries, and comfortable working with unstructured data.