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.
LeapYear is looking for platform engineers that have a track record of developing enterprise-ready features for technical end users, including enterprise integrations, rigorous security, flexible deployment, and support for diverse data sources.
Recent technical challenges we've been working on:
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