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.
Your colleagues will include internationally recognized experts in machine learning research as well as highly experienced technology and finance professionals. The people who shape our company come from other backgrounds, too, including concert music performance, humanitarian aid, opera singing, sports writing, and the submarine service. You will be part of a team that loves to succeed together.
In addition to our enriching and collegial working environment, we offer competitive compensation and benefits packages, technology talks by our experts, a modern office, daily catered lunches, and more.
As a Senior Machine Learning Engineer at Voleon, you will work side-by-side with researchers, traders, and other engineering staff to design, develop, and maintain predictive systems that trade continuously in global markets. You will be responsible for building large-scale distributed systems and data pipelines that implement machine learning models in production. This role is a means to make a difference: you will leverage your experience in applied ML technologies to build foundational tools that accelerate our future research and development efforts, as well as bring new ideas into a rapidly growing firm.
Develop extensible tools and frameworks to accelerate model development
Implement and integrate predictive models into production systems
Foster engineering consistency and standards within the Research group
Develop and maintain complex data pipelines and conduct data analysis
Supervise, understand, and remediate subtle data quality issues in both production and research
Partner in the development of new trading strategies and green-field research
Act as a technical leader for both research and engineering staff
Strong CS fundamentals and at least five years of industrial coding experience in languages such as Python or R
Experience building machine learning systems in a distributed setting at massive scale
Expertise solving ambiguous problems through data analysis
Demonstrated competence in math or related quantitative fields
Proficiency in managing complex data pipelines
Experience with numerical computation libraries such as Pandas, Numpy, Scipy, DataTables, and TensorFlow
Bachelor's degree in Computer Science, Applied Math, Statistics or related fields
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.
About The Voleon Group
Co-founded in 2007 by two leading scientists, The Voleon Group combines an academic approach to research with an emphasis on scalability and risk management to deliver cutting-edge technology at the forefront of the finance industry. Many of our leaders and employees hold doctorates in statistics, computer science, and mathematics, among other quantitative disciplines. We are committed to exemplary performance in all aspects of our research and operations, while maintaining a culture of intellectual curiosity and flexibility.
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/Director of Research is a Statistics faculty member at UC Berkeley, where he earned his Ph.D.