Posted 25/2/2026•Updated 1/4/2026
internshipRemoteApply by 15 May 2026
OpenMined
OpenMined Privacy Tech Fellowship 2026 (Remote)
Remote fellowship to build privacy-preserving ML tools in the OpenMined ecosystem.
Deadline:15 May 2026·Location:Remote·Industry:Software
Snapshot
Role Overview
Company
OpenMined
Role
Privacy Tech Fellow
Location
Remote
Duration
10–12 weeks
Stipend
Expected/Indicative: stipend if funded; some tracks volunteer
Work Hours
Full-time remote
Employment Type
Intern
Experience
Python/ML background; OSS interest
Fit Check
Eligibility & Skills
Eligibility
Students/early-career engineers with Python/ML and interest in privacy tech
Education
UG/PG or professionals
Required Skills
PythonMachine learningSecurity/privacy basicsGit and async collaboration
Branches Allowed
Computer ScienceInformation TechnologyMathematicsElectronics
Year of Study
UG/PG or recent grads
Age Limit
Per program policy
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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
- 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.