AI Scientist Intern, Computational Protein Design

Required

• Currently pursuing a MS or PhD in Computer Science, Machine Learning, or a related technical field, with strong publication record
• Hands-on experience with PyTorch and training/inference of AI models on GPUs
• Strong interest in AI innovation and its applications to interdisciplinary fields such as biology and chemistry
• Extensive hands-on experience with deep learning methods and frameworks
• Ability to work collaboratively in a team environment and learn from experienced mentors
• A scientifically curious mindset with a passion for exploring new challenges
• Experience with large-scale distributed training and inference is a plus
• Exposure to molecular structure or biological sequence data or computational biology/bioinformatics is a plus, but not required
• Prior research experience demonstrated through publications and/or significant open source code authorship
• Interest in contributing to open-source deep learning libraries and frameworks is a plus
• Internship Duration
• The expected monthly compensation range is $10,000–$15,000, depending on experience and qualifications. We are open to higher compensation for candidates with exceptional experience or impact. This internship is designed to provide a unique learning experience, offering hands-on exposure to the intersection of AI and computational protein design while allowing you to contribute meaningfully to real-world projects.