Thomson Reuters Labs is seeking an ML/NLP scientist intern to solve problems using state-of-the-art Machine Learning and Natural Language Processing techniques, supporting the company's digital and AI transformation by developing new products and technologies.
Requirements
- Have an understanding and experience with Natural Language Processing, and/or Machine Learning methods including Large Language Models.
- Have experience creating and evaluating experiments related to Machine Learning or Large Language Models.
- Are experienced in one or more programming languages (preferably Python) and have experience working in the Cloud (preferably AWS)
- Have experience with ML/NLP libraries such as PyTorch, TensorFlow, Scikit-learn, spaCy, LangChain, and HuggingFace.
- Are comfortable working with unstructured datasets and are knowledgeable about tools and techniques for data cleaning and processing.
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.
- contribute ideas and work on solving real-world challenges.
- play with large datasets and discover new capabilities and insights in support of our high-impact products and customers.
Other
- Be currently enrolled in a PhD program relevant discipline or Master’s program with research experience.
- Have good communication skills and the ability to work collaboratively as part of a team.
- Flexibility & Work-Life Balance
- Career Development and Growth
- Industry Competitive Benefits
