Profluent - Machine Learning Research Intern
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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 • Publications at major machine learning conferences (NeurIPS, ICML, ICLR) or scientific journals (Nature, Science, Nature Biotech, Nature Methods, PNAS) • Familiarity with foundational biology of proteins and nucleic acids • Experience developing machine learning models for proteins (language models, structure prediction, design)
Responsibilities
• 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
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
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