Responsibilities
- Develop and optimize ML driven research infrastructure (Python, Pytorch, Jax)
- Optimize training and inference for machine learning models (Pytorch, Jax)
- Deploy machine learning models from research into production
- Develop tooling to integrate data from diverse exchanges and sources
- Improve the resilience and performance of our trading systems
- Collaborate with external engineering support teams at Voleon, including the trading execution team
- Mentor and develop other engineers on the team, and share your practices and knowledge with the team and company
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
- 5+ years of software engineering experience, with a strong background in backend systems, distributed computing, or data infrastructure
- Experience in programming languages such as Python, Go, and C++
- Understanding of database technologies (Postgres, MySQL, Cassandra, DynamoDB, SQLite, DuckDB or MongoDB) and experience with APIs (REST/gRPC)
- Strong problem-solving skills, with a focus on delivering high-quality, maintainable, and well-documented solutions
- Excellent communication and collaboration skills; ability to work closely with both engineering and research teams
Preferred Qualifications
- Expertise in building and optimizing data pipelines
- Experience with profiling and performance optimizations on highly available systems
- Expertise implementing deep learning and RL frameworks in Pytorch or Jax
- Experience optimizing research infrastructure and providing engineering support to researchers
- Experience building a quantitative market-making strategy
- Experience bringing machine learning models into production
- Experience leading cross team collaborations or working cross functionally
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.






