Intern, Software Engineering

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 internship.

• →Design and build software that helps scientists explore protein designs, plan experiments, or visualize results
• →Develop intuitive user interfaces and the APIs and data services that support them
• →Collaborate with scientists, engineers, and machine learning researchers to understand their needs and improve your work through feedback
• →Write well-tested code, document your work, and present your project to the team

• 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

• Typical duration: 12 weeks, with flexible start dates
• Hybrid: 2–3 days on-site per week at our Emeryville, CA headquarters
• Opportunity to ship your work and make a lasting impact on how Profluent designs and tests proteins