
The Rhino Federated Computing Platform allows enterprises to set up computation pipelines on distributed data sources in days, not months - while still respecting confidentiality, privacy and data…

The Rhino Federated Computing Platform allows enterprises to set up computation pipelines on distributed data sources in days, not months - while still respecting confidentiality, privacy and data…
Product: Enterprise federated computing platform for code-to-data workflows
Headquarters: Boston (R&D center in Tel Aviv)
Founders: Dr. Ittai Dayan (CEO) and Yuval Baror (CTO)
Recent raise: $15M Series A (May 22, 2025)
Privacy-preserving data collaboration and federated learning for regulated industries
2020
Software Development
$15M
Company announced the round as oversubscribed with named participants including LionBird, Fusion Fund, Arkin Digital Health, Qiming Venture Partners USA, TELUS Global Ventures, Wilson's Bird Capital and Keren Maccabi.
$11.7M (reported as total raised as of Oct 2022)
Dealroom listed total raised of $11.7M as of October 2022.
“Led by AlleyCorp with participation from multiple institutional investors”
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About The Role The Senior Backend Engineer will be responsible for enhancing and scaling Rhino’s Federated Computing Platform (FCP), used around the world to power cutting edge AI/ML research and development for healthcare and other regulated industries, ultimately driving a shift in innovation and delivery in these industries. You will be responsible for developing new features and enhancements spanning several different technologies and will be expected to learn new technologies as this field is evolving rapidly. You will work closely with other backend engineers, frontend engineers, devops engineers, data scientists, product managers, and business stakeholders across the company. Day-to-day, your role will be architecting, designing, and developing backend sub-systems in Python. You will also work closely with frontend development in JavaScript/TypeScript and React, with infrastructure development on Kubernetes with Terraform, and with data science and AI/ML development using a wide range of model architectures and libraries. This role is for a fast learner who loves technology and is excited to build a cutting edge platform that will improve healthcare and privacy preservation around the world.
About The Candidate Candidates should have the experience described below:
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