Machine Learning Research Intern
Profluent Bio
internship
Posted on:
Location Type: Remote
Location: California • United States
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Job Level
Tech Stack
About the role
- 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
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningdeep learningPytorchJaxstatistical analysisalgorithm developmentdata interpretationprotein designcomputational biologynatural language processing
Soft Skills
collaborationcommunicationpresentation skillsorganizational skillsresearch skills