Research Engineer Intern ( NLP ) in Clinical AI

Kindly note: Your application will only be considered if you complete this form - About the Role: Are you passionate about the intersection of healthcare and cutting-edge AI technology? We're on the lookout for a talented and motivated Research Engineer Intern with expertise in Natural Language Processing (NLP) to join our NLP research team. This internship provides a unique opportunity to work at the intersection of healthcare and cutting-edge generative AI technology, contributing to the development of innovative solutions. As a Research Engineer Intern, you will collaborate with experienced professionals, gain hands-on experience in NLP techniques, and contribute to advancing the state-of-the-art in clinical AI. Additionally, this opportunity presents the chance to have your work published in high-impact venues for healthcare AI and NLP. What We Expect You to Bring:

1. Currently pursuing a degree in Computer Science or a related field at the Bachelor's or Master's level.
2. Strong proficiency in Python and hands-on experience with deep learning libraries such as PyTorch and HuggingFace – essential skills to hit the ground running.
3. Strong experience working with raw datasets, including data cleaning, preprocessing, exploratory analysis, data structuring, etc.
4. In-depth knowledge of NLP concepts and techniques, with the ability to implement state-of-the-art research works in Clinical NLP.
5. Self-motivation and dedication to making an impact through your work.
6. Curiosity to work in a domain-specific Machine Learning environment.

1. Experience training Large Language Models like BERT, GPT, Llama, etc.
2. Worked on prompt engineering, information retrieval, or retrieval-augmented generation.
3. Contributed to open-source deep learning/machine learning-related projects.

1. Training and Evaluating Large Language Models that are tuned for specific use case and domain.
2. Preparing datasets and running exploratory data analysis to use them for model development.
3. Reading and understanding recent clinical NLP research papers, implementation and benchmarking those work on proprietary and public datasets.
4. Documenting your work and writing research reports and publishing them in high-impact venues for healthcare AI and NLP.

1. We are revolutionizing a unique industry that has the potential to impact and benefit patients from all over the world - you can create impact at scale.
2. We have had company-sponsored workations in Bali, Sri Lanka, and Manali and take pride in our hard-working yet super fun culture.
3. We are working on a few of the most challenging problems in a highly regulated industry which provides you an opportunity to solve some of the most interesting things
4. You will get a chance to work with experts from multiple industries, the best in the industry compensation, and a chance to join full-time to continue building your own (and, of course, new) projects.