Responsibilities
- Designing complex systems.
- Take on a lot of responsibility very quickly. You will “own” your work (passionately).
Requirements
- Availability to work a full-time internship during the summer, fall, or winter of 2026
- Expected to graduate in 2027
- Hands-on experience writing code: You have built something significant. You understand how to write modular, maintainable, well-organized, and thoughtfully structured code.
- Mastery of Computer Science fundamentals.
- Modern software practices: You are comfortable using Linux, git, and mainstream databases.
- You are familiar with cloud infrastructure.
- You are incredibly good at at least one thing.
- You are eager to work in diverse teams.
Preferred Qualifications
- You have built significant open source software
Top Skills
What We Do
Founded in 2007 by two machine learning scientists, The Voleon Group is a quantitative hedge fund headquartered in Berkeley, CA. We are committed to solving large-scale financial prediction problems with statistical machine learning.
The Voleon Group combines an academic research culture with an emphasis on scalable architectures to deliver technology at the forefront of investment management. Many of our employees hold doctorates in statistics, computer science, and mathematics, among other quantitative disciplines.
Voleon's CEO holds a Ph.D. in Computer Science from Stanford and previously founded and led a successful technology startup. Our Chief Investment Officer and Head of Research is Statistics faculty at UC Berkeley, where he earned his Ph.D. Voleon prides itself on cultivating an office environment that fosters creativity, collaboration, and open thinking. We are committed to excellence in all aspects of our research and operations, while maintaining a culture of intellectual curiosity and flexibility.
The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
