A 12-week fellowship for aspiring software engineers to contribute to Open Source projects.
Sourced from the official program page. Where a field says Not confirmed, we couldn't verify it — check the official site before applying.
- Location
- Online
- Duration
- 12 weeks
- Deadline
- Rolling
- Grades
- 12
- Format
- remote
- Cost
- Stipend provided
How to think about programs like this.
This guidance is general and may not reflect this program's exact selection process. Always confirm details on the official program page before applying.
What this program actually is
MLH Fellowship is a fellowship run by Major League Hacking. It's built for 12th grade students who want to work remotely with Major League Hacking on Computer Science, AI / Machine Learning.
The program runs for 12 weeks, based out of Online. Participants receive a stipend, so cost isn't the main barrier — travel, housing, and other logistics may still be on you unless the program says otherwise.
Who it's for
Programs like this get the strongest applications from students who can point to a specific reason they want this one — not just "any research program" or "any internship."
- Students in 12th grade — check the official page for exact grade cutoffs before applying.
- Open to students nationwide (and often internationally — verify on the official site).
- Strongest fit for students already curious about: Computer Science, AI / Machine Learning. You don't need prior formal experience — curiosity beats credentials.
Typical day-to-day in programs like this
The following describes what participants generally do in fellowships of this shape — not a confirmed schedule for MLH Fellowship. Always check the official program page for the actual activities.
- Commit to a longer-term (often year-long) program of mentorship, project work, and cohort meetings.
- Ship a substantive project by the end — treat this like a job.
- Join a small, ongoing community of past fellows that will outlast the program itself.
How to apply well
Selection is competitive but not unrealistic. A thoughtful application usually beats a decorated one.
- This program lists rolling admissions rather than a single deadline — but "rolling" usually means spots or funding fill over time, so applying earlier is still an advantage. Don't wait for a deadline that may never come.
- Read the official page twice before writing anything. Note the exact prompts and word counts.
- Answer the actual question. Reviewers read hundreds of essays; specificity beats polish.
- If recommendations are required, ask at least 3 weeks out. Give your recommender a one-page brag sheet with what you're applying for and specific things you'd love them to mention.
Cost, funding & logistics
Cost and logistics kill more applications than eligibility does. Sort these out before you get emotionally invested.
- Format: Fully remote — no travel needed.
- Duration: 12 weeks.
- Participants receive a stipend, so cost isn't the main barrier — travel, housing, and other logistics may still be on you unless the program says otherwise.
After the program
The most valuable thing you leave MLH Fellowship with is usually not the credential — it's the two or three people you met and the one concrete thing you made. Keep in touch with your mentors and peers; they're the beginning of a professional network in Computer Science, AI / Machine Learning.
Add the program to your resume, but also write down (for yourself) what specifically you learned, what you'd do differently, and what question you now want to answer next. That reflection is what turns a summer into a direction.
Atlas guidance is written from public information about programs in this category. It is not a promise about MLH Fellowship's actual selection process.
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