OpenMined Privacy Tech Fellowship 2026 (Remote)

Introduction

OpenMined supports privacy-preserving machine learning. This remote fellowship lets you build libraries and examples in that ecosystem. Dates/stipend are Expected/Indicative.

Program Overview

• Remote collaboration with maintainers
• Work on secure aggregation, federated learning, or privacy tooling
• Weekly milestones; stipend if funded

Eligibility

• Python/ML skills and OSS familiarity
• Ability to work async for 10–12 weeks

How to Apply

1. Contribute small fixes to OpenMined repos. 2) Submit application with proposal and links. 3) Complete any screening task.

FAQs

• Paid? Expected/Indicative: stipend if funded; some tracks volunteer.
• Remote? Fully remote.
• Need prior privacy background? Basics suffice; demonstrate learning ability.