The next frontier is authoring new biology, and with AI, we have the power to write the future—creating solutions that transform medicine, agriculture, and beyond. Backed by Insight and Air Street.
About the role
We’re looking for a Software Engineering Intern to help build the tools and data systems behind Profluent’s AI-driven protein design cycle. Our models propose new proteins, scientists test them, and experimental results inform what we design next. Your work will help connect those steps and make the resulting data useful for both scientists and machine learning teams. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Enrolled in a BS, MS, or PhD program in Computer Science, Software Engineering, Bioengineering, or a related field, or equivalent practical experience
- Strong programming skills in Python and familiarity with AI-assisted tools for writing, testing, and debugging software
- Experience with one or more of the following: web applications, data visualization, APIs, databases, or scientific computing
- Curiosity about AI and biology, strong problem-solving skills, and the ability to work independently and collaboratively, prior biology experience is not required
More about this role
Profluent is the frontier AI lab for biology. Profluent builds powerful foundation models for all of life's molecules, unlocking solutions that transform medicine, agriculture, and beyond. Founded in 2022 and headquartered in Emeryville, CA, Profluent is backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures and has raised over $150M to date.
We’re looking for a Software Engineering Intern to help build the tools and data systems behind Profluent’s AI-driven protein design cycle. Our models propose new proteins, scientists test them, and experimental results inform what we design next. Your work will help connect those steps and make the resulting data useful for both scientists and machine learning teams.
This is an opportunity to take a focused software project from idea to a tool that scientists use in their research. For example, you might build a tool for exploring protein designs or an interactive dashboard that helps researchers make sense of screening results. You’ll get feedback from the scientists using your work and present what you built at the end of the...
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