Wikimedia Foundation Logo

Wikimedia Foundation

Software Engineering Internship Program (2027)

Posted 20 Days Ago
Remote
Hiring Remotely in USA
34-42 Hourly
Internship
Remote
Hiring Remotely in USA
34-42 Hourly
Internship
Four-month, fully remote software engineering internship embedded within Wikimedia Foundation engineering teams. Interns complete a primary project with defined deliverables while learning through mentorship and hands-on work across mobile applications, editing tools, data platforms, release engineering, cloud infrastructure, observability, and contributor connection systems. The program requires 40 hours per week, independent problem-solving, collaborative communication, and foundational programming, database, scripting, and potentially SQL, Linux, networking, operating systems, or distributed-systems knowledge.
The summary above was generated by AI

Software Engineering Internship Program

Location: Remote (US)*

Duration: 4 months (start in late February 2027)

Hours: 40 hrs/week paid experience

Application Deadline: All interested applicants must apply by November 20, 2026.

The Wikimedia Foundation is the non-profit organization that operates Wikipedia – one of the most popular websites in the world, accessed by over 1.8 billion unique devices every month. It is the only non-profit in the top 50 websites, supported by a community of millions of individual donors around the world.

We are looking for graduates, non-graduates, or those seeking a career change who are interested in developing software engineering skills through an immersive “learn on the job” internship program. As an intern, you will be embedded into an engineering team within our Product and Technology departments and assigned a primary project with clear deliverables. Alongside your manager and dedicated mentor, you will learn the inner workings of our open source code that helps to create “a world in which everyone can freely share in the sum of all knowledge”.  You will work with software that serves over half a billion page views per day through Wikipedia (and other Wikimedia projects). The outcome of your work will impact how all people everywhere discover, share, and contribute to free knowledge.

Additionally, you will have the opportunity to learn about various departments at the Foundation and connect with the wider volunteer movement and community.

Applicants who identify from a group that is underrepresented in the global conversation of technology advancement are encouraged to apply. We’re also welcoming applicants from communities where access to free knowledge and Wikimedia projects are just emerging.

PROGRAM DETAILS

Successful candidates must be able to commit to a four month, 40hr/week internship which will fall between late February to late June 2027. We will provide laptops and necessary software installed for the duration of the program. This role is 100% remote, and in some cases there may be potential opportunities to participate in in-person events to meet other fellow interns and teams.

POTENTIAL TEAM OPPORTUNITIES

Mobile Apps Engineering Team
The Mobile Apps team's primary objective lies in constructing native Android and iOS applications for the Wikimedia Foundation.

Editing
The Editing team is part of the Contributors group. They work on tools for editing across MediaWiki, principally VisualEditor, DiscussionTools, and Edit check. The team is currently working on Suggestion Mode, a feature for the VisualEditor that proactively suggests actions that people can consider taking to improve Wikipedia articles.

Data Platform Engineering
The Mission of the Data Platform Engineering team is to empower Wiki Communities and the Wikimedia Foundation to gain insights, conduct research, and build compelling user experiences, through access to privacy-aware data and data platform services. The Data Platform is a collection of systems and services providing end-to-end capabilities for our data producers and consumers to collect, discover, and use data.

Release Engineering
The Release Engineering team enables developers to confidently build, test, and deploy code changes across Wikimedia projects, including Wikipedia, by creating the tools, infrastructure, and automation that keep software delivery fast and reliable.

Connection team

The Connection team is part of the Contributors group. They aim to improve how contributors connect and understand their impact. The team was formed in 2021 to focus on the needs of campaign and event organizers and participants and hopefully improve the experience of Wikimedia campaigns.

Tools Infrastructure (with Observability)

The mission of the Tools Infrastructure team is to provide a free, reliable, secure and scalable  Cloud hosting platform to support Wikimedia contributors and developers to run tools, bots, data pipelines, and services that support Wikipedia and its sister projects. 

The Observability team’s mission is to provide insight into the health, performance and behaviour of production code and systems  for teams within the Wikimedia Foundation and for volunteers at large.

As we form our internship cohort, we are looking for candidates who possess:

  • Basic experience with at least one back end or front end programming language (e.g PHP, Javascript, Python) OR a mobile app language (Kotlin, Swift), OR a demonstrated interest in cybersecurity and/or privacy.
  • Basic experience with databases.
  • Basic experience with at least one scripting language.
  • For some roles:
    • Basic querying and data manipulation with SQL or other query languages
    • Linux/command-line knowledge
    • Understanding of networking, operating systems, or distributed systems concepts (latency, throughput, error rates). 
  • Ability to work independently and be resourceful in solving problems.
  • Ability to stay accountable to deliverable requirements deadlines.
  • Effective and inclusive communication skills with diverse cultural and language communities.
  • Willingness and hunger to learn, a positive attitude, empathy, and a sense of curiosity.
  • The ability to flourish in a highly transparent and collaborative environment.
  • A desire to make meaningful contributions to knowledge equity, free culture, and open access to global education.
About the Wikimedia Foundation

The Wikimedia Foundation is the nonprofit organization that operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge freely. We host Wikipedia and the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive. 

The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive donations from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.

As an equal opportunity employer, the Wikimedia Foundation values having a diverse workforce and continuously strives to maintain an inclusive and equitable workplace. We encourage people with a diverse range of backgrounds to apply. We do not discriminate against any person based upon their race, traits historically associated with race, religion, color, national origin, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or any other legally protected characteristics.

The Wikimedia Foundation is a remote-first organization with staff members including contractors based in 40+ countries*. Salaries at the Wikimedia Foundation are set in a way that is competitive, equitable, and consistent with our values and culture. The anticipated annual pay range of this position for applicants based within the United States is US$34.32 to $42.13 per hour with multiple individualized factors, including cost of living in the location, being the determinants of the offered pay. We neither ask for nor take into consideration the salary history of applicants. The compensation for a successful applicant will be based on their skills, experience and location.

*Please note that we are currently able to hire in the following US States for these internship roles: Arizona, California, Colorado, Connecticut, District of Columbia*, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Puerto Rico*, Rhode Island, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin and Wyoming (*US Territory or Federal District)

We periodically review this list to streamline to ensure alignment with our hiring requirements.

All applicants can reach out to their recruiter to understand more about the specific pay range for their location during the interview process.

If you are a qualified applicant requiring assistance or an accommodation to complete any step of the application process due to a disability, you may contact us at [email protected] or +1 (415) 839-6885.

More information

Applicant Privacy Policy

Wikimedia Foundation

What does the Wikimedia Foundation do?

What makes Wikipedia different from social media platforms?

Our Projects

Our Tech Stack

News from across the Wikimedia movement

Wikimedia Blog

Wikimedia 2030

HQ

Wikimedia Foundation San Francisco, California, USA Office

1 Montgomery Street, San Francisco, CA, United States, 94104

Similar Jobs

3 Hours Ago
Remote or Hybrid
Massachusetts, USA
165K-228K Annually
Entry level
165K-228K Annually
Entry level
Automotive • eCommerce • Hardware • Music • Retail • Software • Wearables
Develop agentic workflows and automation for real-time audio machine learning research. Responsibilities include orchestrating training, evaluation, experimentation, reporting, data preparation, hyperparameter searches, benchmarking, regression testing, experiment tracking, artifact management, and reproducible execution. The role integrates LLM agents with research tools, datasets, repositories, evaluation suites, and GPU infrastructure while partnering with audio researchers to create reusable workflows and dashboards.
Top Skills: Automated TestingCi/CdContainersCudaDigital Signal Processing (Dsp)Distributed TrainingExperiment TrackingGpu SchedulingLinuxLlm AgentsMlopsPythonPyTorch
3 Hours Ago
Remote or Hybrid
Sunnyvale, CA, USA
219K-335K Annually
Senior level
219K-335K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Leads engineers and data scientists developing autonomy subsystem evaluation metrics, root-cause analyses, regression detection, and release decision tools. Owns roadmap, staffing, technical quality, and cross-functional alignment across planning, perception, prediction, and localization. Applies statistical evaluation, simulation and road data analysis, and VLMs/LLMs to determine how subsystem errors affect driving outcomes and communicate actionable findings to engineering and leadership.
Top Skills: C++LlmsPythonSQLVlms
3 Hours Ago
Remote or Hybrid
California, USA
37K-66K Hourly
Senior level
37K-66K Hourly
Senior level
Fintech • Financial Services
Manages and grows relationships with affluent consumer and business customers through proactive outreach, discovery-based financial guidance, and multi-product recommendations across deposits, lending, investments, and banking services. Owns a book of business, coordinates referrals with Wealth, Home Lending, and Business Banking, promotes digital adoption, supports branch colleagues, and maintains strong documentation, regulatory compliance, and risk controls.
Top Skills: Finra Series 6Finra Series 63Finra Series 65Lo/Cfpb RequirementsSafe RegistrationSecurities Industry Essentials (Sie)

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account