Research Intern, Foundational Models & Agent

What you'll do

• Contribute to research and development strides in Large Language Models, multimodal models, agents, or reinforcement learning.
• Train and fine-tune large language models using deep learning libraries and Python.
• Perform model compression and distillation to create small language models.
• Curate datasets and generate data using prompting state-of-the-art LLMs or model alignment techniques.
• Build working prototypes to incubate new ideas and solve complex research problems.
• Present research findings to mentors and other researchers.
• Develop reusable software libraries and packages.
• Produce scientific writing for submission to top-tier conferences and journals.

What we're looking for

• Currently enrolled in a Doctoral Degree program in Computer Science or a related STEM field.
• At least 2 years of experience conducting research in Large Language Models, multimodal models, agents, and/or reinforcement learning.
• Experience training and/or finetuning large language models, model compression, and distillation to small language models.
• Experience with Python and deep learning libraries.
• Experience with dataset curation, data generation using prompting state-of-the-art LLMs, and/or model alignment.
• Experience of scientific writing in top-tier conferences or journals (preferred).
• Experience with reinforcement learning libraries or formal methods and verification (preferred).
• Desire to learn to create reusable software libraries and packages (preferred).