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.
What you'd do
- 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
- 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
What they want
- 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
What you get
- Work on meaningful software projects at the frontier of AI and biology
- Mentorship from experienced software engineers and close collaboration with scientists and machine learning researchers
- A dynamic, mission-driven environment with the resources of a fast-growing, well-funded startup
- Competitive internship compensation