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.  

The Voleon Group

Applying statistical machine learning to investment management. 

Voleon is a technology company that applies state-of-the-art machine learning techniques to real-world problems in finance. For more than a decade, we have led our industry and worked at the frontier of applying machine learning to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.

As a Senior Software Engineer on the Batch and Realtime Streaming team, you will play a pivotal role in architecting, developing, and maintaining Voleon’s Batch and Realtime Streaming platform—the essential data backbone that powers our machine learning research and production trading systems. You will collaborate closely with researchers and finance professionals to design high-performance interfaces and tools that streamline feature productization, discovery, access, and management. This is an opportunity to make a significant impact at the intersection of cutting-edge technology and quantitative finance.

Your Team

We seek exceptional individuals who are driven by curiosity and a passion for tackling complex problems through innovation and solid engineering principles. At Voleon, you’ll join a collaborative culture where creative ideas are encouraged, experimentation is celebrated, and efficient execution is valued.

You’ll work shoulder-to-shoulder with seasoned engineers who’ve joined us from top technology firms and leading academic institutions. Together, you’ll partner with world-class machine learning researchers, including internationally recognized leaders in artificial intelligence and machine learning, as well as accomplished professionals in both finance and technology.

Beyond our vibrant and intellectually stimulating environment, we offer highly competitive compensation and benefits packages, regular technology talks led by our in-house experts, a state-of-the-art modern office, daily catered lunches, and much more.

Responsibilities

Architect, design, and implement core components for a Batch and Realtime Streaming platform, including data ingestion pipelines, storage systems, serving layers, and API interfacesShip new features by collaborating across research, legal, trading, finance operations data, and infra teams for trading systemsCollaborate with ML researchers and data scientists to understand their workflows and design intuitive interfaces (APIs, SDKs, UIs) for seamless feature discovery, access, and reuseEnsure data quality, consistency, and lineage for features, building robust mechanisms for versioning, monitoring, and governanceOptimize data pipelines and storage for high performance, scalability, and reliability, considering both batch and real-time use casesDrive adoption of the feature store across teams by producing documentation, onboarding materials, and developer supportMentor junior engineers and contribute to team best practices and technical excellence

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience)10+ years of software engineering experience, with a strong background in distributed computing and data infrastructureExperience in programming languages such as Python and GoUnderstanding of database technologies (Postgres, MySQL, Cassandra, DuckDB) and experience with APIs (REST/gRPC)Strong problem-solving skills, with a focus on delivering high-quality, maintainable, and well-documented solutionsExcellent communication and collaboration skills; ability to work closely with both engineering and research teams

Preferred Qualifications

Experience building large-scale data pipelines and storage systems (e.g., Airflow, Spark, Ray, Iceberg, etc)Exposure to modern Python data science tooling. (pandas, polars, dask, duckdb, etc)Experience with monitoring and observability tools for distributed systems (e.g., Prometheus, Grafana, ELK Stack)Prior experience working with feature stores (e.g., Feast, Hopsworks, or custom solutions) is highly desirable

“Friends of Voleon” Candidate Referral Program

If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program.

Equal Opportunity Employer

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.

Compensation Range: $315K - $405K



Staff Software Engineer, Batch and Realtime Streaming

What the job involves