AI has not achieved its full potential in fields where the data is siloed, like healthcare. Rhino Federated Computing aims to fix that. Rhino solves one of the biggest challenges in the AI and data space, by seamlessly connecting siloed data through federated computing. Today, AI developers face tremendous hurdles in training their models on sufficiently large and diverse datasets because of privacy concerns. The Rhino Federated Computing Platform (FCP) unlocks data collaborations by allowing developers to train their models on data without ever taking possession of that data.

Rhino offers organizations and data scientists an end-to-end distributed computing platform, which enables data collaboration while protecting data privacy. This platform uses edge computing and federated learning, leaving data at rest at each site, thus lowering the barrier to wider adoption of AI in regulated industries by making multi-site collaboration seamless. Using Rhino FCP, users can collaborate with a network of dozens of partners around the world, centrally managing data pre-processing, harmonization, model training & validation, and results analysis with no sensitive data ever leaving any site’s firewall.

The company is headquartered in Boston, with an R&D center in Tel Aviv.

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.

• Take entire backend sub-systems from ideation through design and implementation across a broad range of technologies and environments.
• Interface closely with (occasionally also writing code for) frontend, devops, and data science components.
• Introduce improvements to our tools and methodologies to increase the velocity of our development team and the reliability of our platform, including using the latest AI tooling.

Candidates should have the experience described below:

• 7+ years of software development
• 5+ years developing production platforms/products/applications in Python
• 3+ years using web application frameworks like Django/Flask/FastAPI
• Experience working in a startup environment
• Advantage for experience developing AI/ML based products or platforms
• Advantage for experience developing distributed systems
• The role is open to candidates who are based in Israel (hybrid work environment)