_4fec9.png){kind=logo}
Software Engineer - Algorithms
Posted on: 29 Aug 2021
San Francisco, CA
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.
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
Design and implement novel machine learning techniques
Develop performance-critical code
Plan, implement, and optimize new features to carry out our product roadmap
Requirements
PhD, or equivalent experience, in a field involving the application of advanced mathematics (machine learning, computer science, statistics, physics, math, electrical/systems engineering)
Exposure to functional programming
Strong foundation in data structures, algorithms, software design, and the theoretical underpinnings of machine learning
Preferred
Familiarity with differential privacy theory and implementation
Excellent Haskell skills
Professional machine learning experience and functional programming
Experience in enterprise data science and data engineering
Background applying advanced machine learning techniques in enterprise data environments
A Few of the Perks
Culture of teaching and learning
Competitive compensation package of salary and equity
Catered lunch every day
Company outings
Build your ideal work station
Generous health insurance plan
Relocation support and visa sponsorship
LeapYear Technologies, Inc.
Berkeley, CA
LeapYear is the world’s first platform for differentially private reporting, analytics and machine learning. We enable enterprises across highly regulated industries to safely create value from their most sensitive datasets.
The platform embeds mathematically proven privacy into every computation, statistic and model enabling analysts and data scientists to generate insights from data without exposing the data itself. Our customers safely leverage and share data across institutional silos, geographic borders and with third parties, all while preserving privacy and confidentiality.
LeapYear is deployed in production, at multi-petabyte scale, across global 1000 financial institutions, healthcare companies, and insurers.
The rise of large-scale data collection and machine learning has been accompanied by pressing questions related to privacy, security, and data access.
LeapYear builds technology to address these issues in a scalable, rigorous, and future-proof way.
With LeapYear, some of the largest enterprises in the world are able to break down data silos, form data partnerships, and accelerate the adoption of machine learning, all with mathematically proven privacy protection.
-
IndustryInformation Technology
-
No. of Employees48
-
Website
-
Jobs Posted39
