About the job
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.
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
Qualifications
Minimum
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
Preferred
Ph.D. degree (preferred)