Software Engineering Intern

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Profluent

11-50 employeesFounded 2022Emeryville, CABiotechnology Research
Actively hiringPaidBiotechnology Research
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Best applied by Dec 31

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About the role#

As a Software Engineering Intern, you will build the tools and data systems that support our AI-driven protein design cycle. You will connect the steps between model design and experimental testing, making data useful for both scientists and machine learning researchers. You will take a specific software project from an initial idea to a functional tool used in research.

What you'll do#

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

What you'll need#

  • Enrollment 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.
  • 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 both independently and collaboratively.
  • Prior biology experience is not required.

Location & details#

  • This is a paid, full-time position based in Emeryville, California.
  • The role is hybrid, requiring 2 to 3 days on-site per week.
  • The typical duration is 12 weeks with flexible start dates.
  • We do not offer visa sponsorship for this role.

About Profluent

Profluent is a biotechnology research company based in Emeryville, California. Founded in 2022, the company creates deep generative models to design and validate functional proteins. These tools aim to change how biomedicine approaches protein development. The team consists of 11 to 50 employees.

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