Applied Scientist Intern

What you'd do

• 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. You will contribute ideas and work on solving real-world challenges.
• Be currently enrolled in a PhD program in a relevant discipline or a Master’s program with research experience.
• Have an understanding and experience with Natural Language Processing, and/or Machine Learning methods, including Large Language Models.
• Have experience with model training, fine tuning, 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.
• Have good communication skills and the ability to work collaboratively as part of a team.