Principal Member of Research Staff (Pipeline)

The Voleon Group•Berkeley, CA

2d•Onsite

About The Position

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML 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 artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more. As a Principal Member of our Research Staff, you will play a leadership role alongside world-class machine learning scientists, statisticians, and technical innovators. You will be at the forefront of modern statistical machine learning innovation, applying novel research to large, high-dimensional data sets. This role is a means to make a difference: together with other Members of Research Staff, you will have an enduring impact on our field.

Requirements

Established reputation as world-renowned researcher in one or more of the following disciplines: reinforcement learning / stochastic control, prediction, applied statistics, machine learning systems, deep learning, and/or theoretical computer science
Evidence of strong mathematical abilities (e.g., publication record, graduate coursework, or competition placement)
Programming experience and interest in software development techniques
Competence in solving large-scale computing problems
Interest in working hands-on as an applied researcher
Interest in financial applications is essential, but experience in finance is not a primary factor in our hiring

Nice To Haves

Ph.D. degree

Responsibilities

Work on complex problems with a research team that has collectively published hundreds of academic articles in top-tier venues on machine learning, systems, and theory
Apply expertise in a technical field such as statistics, mathematics, computer science, engineering, or operations research, to challenging problems in a burgeoning technical field
Develop predictive models and other components of automated trading systems
Engage in work ranging from data preparation to model development to production software implementation