Machine Learning Intern
About The Position
The Machine Learning team at Generate:Biomedicines develops new technologies for protein generative modeling and therapeutic discovery, and we are looking for creative and motivated graduate student interns to join us for a summer of research. During this time, interns will work with a mentor to develop a project exploring new kinds of ML modeling approaches for proteins, which can address foundational problems in biochemistry, molecular biology, and immunology while leveraging advances at the forefront of ML for language, vision, geometry, and uncertainty. Interns will have broad exposure to the technologies across the platform through cross functional interactions with the wet lab as well as social and educational programming to get to know scientists working in industry and to learn more about how research can translate into making medicines for patients. Internship projects for the summer of 2026 are available within the machine learning, data science, computational structure determination, and computational protein generation groups at Generate:Biomedicines.
Requirements
- Current PhD Student in Applied Math, Computer Science, Computational Biology, Statistics, or a related field is required for this internship
- Experience with conceiving of, implementing, and developing novel Machine Learning methodology with generative modeling and/or LLM-based workflows
- Experience with modern deep learning frameworks such as Pytorch, JAX, or Tensorflow
- Proficiency in Python and experience analyzing data with Numpy/Scipy, R, or similar
Nice To Haves
- Experience working with protein sequence and/or structure data is a plus
- Experience with developing agentic applications that orchestrate LLMs with tools (APIs, databases, code execution) is a plus
Responsibilities
- Contribute to ML research advancing the state of art in machine learning of sequence, structure, and function, its application to therapeutic generation, and its acceleration with agentic approaches to science
- Work with a mentor to advance a summer research project while collaborating and developing high-quality code in a cross-functional team
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What This Job Offers
Career Level
Intern
Education Level
Ph.D. or professional degree
Number of Employees
251-500 employees
