AI Scientist Intern, Computational Protein Design

What you'll do

• Develop and apply models for protein or antibody structure, sequence, or property modeling.
• Implement and train models on GPUs using PyTorch; contribute to research projects using protein and biophysical or affinity data.
• Discuss research ideas, document findings, and communicate progress with peers and mentors.

What they ask for

• Currently pursuing an MS or PhD in Computer Science, Machine Learning, or a related technical field, with a strong publication record.
• Hands-on experience with PyTorch and training or inference of AI models on GPUs.
• Extensive hands-on experience with deep learning methods and frameworks.
• Prior research demonstrated through publications and/or significant open-source code authorship.

Nice to have

• Experience with large-scale distributed training and inference.
• Exposure to molecular structure or biological sequence data, computational biology, or bioinformatics; interest in contributing to open-source deep learning libraries and frameworks.

Pay

$10,000–$15,000 USD monthly compensation

Tools

PyTorch, GPUs

AI focus

Generative AI and deep learning for protein and antibody therapeutic design, including structure, sequence, and property modeling.