Internship, Foundation Models

What you'll do

• Reproduce baseline results and implement and evaluate improvements to fine-tuning, data quality, or inference efficiency.
• Run controlled experiments and analyze model performance, computational cost, and failure cases.
• Contribute reusable code, evaluation tools, and documentation, and present findings to the team.

What they ask for

• Strong Python programming skills and familiarity with PyTorch or a similar framework.
• Understanding of machine learning fundamentals, deep learning, and transformer architectures.
• Experience with an ML project through coursework, research, or personal work.
• Ability to debug, interpret experimental results, and communicate clearly.

Nice to have

• Working with pretrained models and tools such as Hugging Face Transformers.
• Fine-tuning models, preparing datasets, building evaluation pipelines, or using GPUs, Linux, Git, and experiment tracking tools.

Tools

Python, PyTorch, Hugging Face Transformers, GPUs, Linux, Git

AI focus

Developing, training, fine-tuning, and evaluating foundation models, including improving data quality and inference efficiency.