Generate:Biomedicines · 14 hours ago
Machine Learning Intern
Generate:Biomedicines is a therapeutics company at the intersection of machine learning, biological engineering, and medicine. They are seeking creative and motivated graduate student interns to develop projects exploring new ML modeling approaches for proteins, addressing foundational problems in biochemistry, molecular biology, and immunology.
Artificial Intelligence (AI)BiotechnologyHealth CareMedicalProduct Research
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
Building generative models of protein sequence and structure
Modeling protein interactions using generative models
Building and evaluating models that predict biophysical properties or drug like properties
Learning new representations for proteins
Leveraging Generate’s high-throughput functional data to advance protein design
Application of generative models to design molecules for real-world drug programs
Exploring ideas and innovations with your mentor and team
Presenting your research to the Computational Sciences team, and learning from experienced team members
A capstone presentation of your project at the Machine Learning Intern Summer Symposium, where you’ll present your work to the entire company
Several events with your mentors and teammates
Qualification
Required
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
Preferred
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
Company
Generate:Biomedicines
Pioneering generative biology to create breakthrough therapeutics.
H1B Sponsorship
Generate:Biomedicines has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (7)
2024 (12)
2023 (9)
2022 (3)
2021 (2)
2020 (1)
Funding
Current Stage
Growth StageTotal Funding
$693MKey Investors
Samsung Life Science FundAlumni VenturesFlagship Pioneering
2024-12-18Series Unknown
2023-09-14Series C· $273M
2021-11-18Series B· $370M
Recent News
FierceBiotech
2025-10-28
Company data provided by crunchbase