Machine Learning Research Intern

Role Overview

• Contribute to ML research advancing the state-of-the-art in deep learning for protein sequence, structure, and function and its application to protein design
• Work with a research mentor and the broader ML team to advance a summer research project for peer-reviewed publication or internal deployment
• Analyze, interpret, and organize results and present progress to colleagues in regular research meetings

Requirements

• Current PhD Student (or equivalent industry experience) in Applied Math, Computer Science, Computational Biology, Machine Learning, Natural Language Processing, Statistics, or a related field
• Experience with conceiving of, implementing, and developing novel machine learning methodology
• Experience with modern deep learning frameworks such as Pytorch or Jax

Tech Stack

• PyTorch

Benefits

• Work on moonshot projects at the frontier of AI and biology
• Mentorship from leading experts in bioinformatics, machine learning, and synthetic biology
• A dynamic, mission-driven environment with the resources of a fast-growing, well-funded startup
• Competitive internship compensation and benefits