Description
Thomson Reuters Labs is seeking a Machine Learning/Natural Language Processing 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. You will experiment and develop high-quality solutions, collaborate with colleagues across the globe, and innovate by trying new approaches and learning new technologies.
Responsibilities:
- Experiment and develop high-quality solutions throughout the model development lifecycle
- Collaborate with colleagues across the globe on a cross-functional team
- Innovate by trying new approaches and learning new technologies to solve real-world challenges
Required Qualifications:
- Currently enrolled in a PhD program in a relevant discipline or a Master's program with research experience
- Understanding and experience with Natural Language Processing and/or Machine Learning methods, including Large Language Models
- Experience with model training, fine-tuning, and evaluating experiments related to Machine Learning or Large Language Models
- Experience with one or more programming languages (preferably Python) and 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 ability to work collaboratively as part of a team
Benefits:
- Flexibility and work-life balance with supportive workplace policies
- Career development and growth opportunities
- Industry-competitive benefits, including paid leave, mental health days, and retirement savings
- Opportunities for social impact and community involvement
The internship dates are January 11, 2027 - July 12, 2027.