Job Description
LeapYear's secure machine learning platform is deployed by some of the largest enterprises in the world across finance, healthcare, and technology.
Our technology ensures differential privacy, a widely recognized standard of data privacy that enables all data - including sensitive information - to be utilized for analytics, while providing mathematically proven privacy protection.
The LeapYear system is composed of a core set of components that allow private machine learning on data sets that can scale to petabytes. The system includes private algorithms for relational operations, statistical methods and machine learning. A data scientist accesses private data using a Python API. Administration is provided via a web-based GUI or an API.
YOUR ROLE If you work at the intersection of machine learning and functional programming, we're looking for you. You will collaborate with developers, researchers, and data scientists to transform machine learning theory into enterprise applications, and the novel algorithms that you develop will be deployed on massive enterprise datasets. For details on the specific responsibilities and requirements of this role, please see below. RESPONSIBILITIES
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A FEW OF THE PERKS