CodeDay Labs is the 100% online tech internship for everyone.

Monday, June 28 Friday, August 6

Apply NowMentor

Deadline: Monday, June 14, 3:00 PM UTC
Last decisions: Thursday, June 17, 3:00 PM UTC (most will be earlier)

Dream of working at a top tech company? Join us!

Work with your mentor & two other students.

Tell us what you love in technology, and where you want your career to take you. We'll match you with the perfect industry mentor and up to two other students at your skill level.

(Beginner-track attendees: we'll match you with a former intern from a tech company who has time to provide you with more support.)

Create or contribute to real-world, open-source projects.

Learn to ship real software that helps real people using the latest industry tools. (Ever wondered what “Kubernetes” is? Or how to set up a GraphQL backend in Typescript?)

It's like a real-world internship at a leading tech company, but 100% online.

Accountability Buddy

Mentor: Pete Bekos, NDA


Mentor: Tim Van Cleave, SPS Commerce

Classifying Toxic Comments with NLP

Mentor: Prithvi Shetty, SAP

Simple Tracer

Mentor: Paul Nabende, MasterCard Labs

News Analyzer

Mentor: Sam Belcastro, Microsoft


Mentor: Tim Van Cleave, SPS Commerce

Resume Screening

Mentor: Sneha Singh, Sony Interactive Entertainment


Mentor: Shakeel Mohamed, Splunk

Student Library Management

Mentor: Meena Bhujang, T-Mobile

Portfolio Manager

Mentor: Shashank Sabniveesu, Broadridge

Daily tech talks, career panels, and more.

What do recruiters look for when you meet them? How does Microsoft deploy machine learning modules? What does a day-in-the-life look like for a technical artist?

CodeDay Labs has daily opportunities to learn from leaders and build a professional network.

Get ready to land your dream job or internship next year.

Our students have daily opportunities to do practice interviews and get resume feedback from tech hiring managers and recruiters.

Multiple tracks. What's your experience level?

Beginner Track

A guided experience which is best for people with some CS knowledge, but who don't have prior experience working on complex projects.

This is probably the right track for you if you're a high school student who's taken AP CS A or equivalent course, or a college student with 101-level experience in CS or Engineering.

You'll work with an older student, a current/former tech intern, who will guide you through your first experience building something with real-world implications.

($250 fee if accepted; many scholarships available.)


Intermediate/Advanced Track

This track is the most similar to a traditional in-person internship, for those students who have higher-level CS knowledge or significant experience building projects.

This is the right track for you if you're a college student with experience beyond the 101/102-level CS or Engineering classes, or a student who has built projects on your own time.

You'll be matched with a mentor from the technology industry, like at most traditional in-person internships, and will build a polished app/feature.

(No fee; not a paid internship.)


We've helped thousands of students get their start in technology since 2009.

I loved being able to work as a team and gain real world experience about coding but at the same time also having the opportunity to learn something new.

Kelly Dong, Labs Advanced-Track

Being a Venezuelan immigrant, Labs was the first time that I got true exposure to a community of tech people that I could rely on. Fast forward a couple of years and now I'm three and a half months away from graduating college and have a job as a SWE at the Microsoft HQ right after I graduate.

Daniel Lobaton, Labs Beginner-Track

I began my CodeDay Labs internship with no background in using React Native, but came out of this internship knowing the ins and outs of React Native thanks to my team and my mentor, Eric. I highly recommend CodeDay Labs as a chance to apply your knowledge to real-world applications

Vivian Wang, Labs Beginner-Track

I really enjoyed learning how to use new technology such as Angular, Node, Sequelize, and Joi. Working with my teammates and interacting with each other was one of my favorite parts of this internship. Just helping each other out, working, learning, and growing together as developers was really great. Also the mentor was very helpful.

Alain Nshimirimana, Labs Advanced-Track

My experience as a CodeDay Labs intern certainly exceeded my expectations. My favorite part about being an intern was getting to learn and work with Python Django. I found working with Django to be difficult yet also fun. At the beginning of the internship, because I only had experience with ReactJS, I thought I would only be working on the frontend component of the app which we built. However, I ended up only working with ReactJS (i.e. the frontend) for about a week before I became responsible for the backend. I'm really glad I got this exposure because I found that I enjoy working with backend-related stuff.

Amy Ghotra, Labs Advanced-Track

Past Student Projects

See All

Advanced Track

Mentor: Tim Van Cleave, Engineer at SPS Commerce

As a photographer one of the most important things you can do is share your work to build a reputation for yourself, but often it's not as easy to get well-organized feedback about your work from others. If you want to improve your art, either as a professional or just a casual enthusiast, it's extremely important to get your work in front of others so you can keep improving.

This project aims to solve this problem by creating a site where photographers can upload their portfolio and then have fellow photographers leave comments about things that can be improved, things they like, etc.

Key user requirements are:
* Users can upload their own photos and display them in a clean, easy to view way.
* This includes the users display name, home city, etc.
* (optional) use the photo's EXIF data to display information about the camera, lens, and other settings interesting to a photographer. Location information would be super cool as well!
* Users can indicate that they want only some of their photos to be reviewed by others
* Users can leave comments on individual photos where a review is requested

This project will teach a variety of useful technical skills, including:
* Developing a clean, fast API using Django and Django Rest Framework
* Uploading photos to a cloud hosting service like S3
* Modern React web app development, including using component libraries and other tools to simplify development
* User-centered design throughout the project
* AGILE best practices (don't worry, just a light version!)
* Having fun while making something awesome!

Advanced Track

Mentor: Ed Bukoski, Engineer at Netflix

Create movie and TV show recommendations based on signals from your ambient environment. Imagine visiting Netflix and seeing a recommendation row based on your local weather, current geographical location, local news, or the past hour of your personal Twitter feed!

We will divide up into two teams. One team will source data from weather services, Twitter API, news feeds, or any other source that has data from the local environment. The second team will use these as input to query movie data from and form a list of movie and TV show recommendations (bonus for links to streaming services where this content is hosted). We will figure out the final presentation format as we go, it could be a command line, REST (JSON) API, or a web site.

Falling Sand
Beginner Track

Mentor: Charlie Liu, Student at Yale University

Ever heard of a "falling sand" game? (if not, check this out: Not only is this a really fun project to work on, but it also incorporates several topics outside of CS, such as physics and basic biology concepts. The project also doesn't have to mimic the traditional "falling sand" style - it could incorporate some twist or new element, such as adding a "person" character or drawing some inspiration from the Sugar, Sugar game ( Ready to start building your own sandbox world?

Learn From Experts & Build Your Network

This year's talk schedule hasn't been released yet, so have a look at last year's lineup:

Tech Talk

Jul 8, 2020, 8:00 PM

Building a NLP/machine learning model in 5 steps

Career Talk

Jul 8, 2020, 9:30 PM

One Approach To Prototype Software Ideas

Career Talk

Jul 9, 2020, 6:00 PM

IT Careers in Public Sector Higher Education

Expert Lunch

Jul 9, 2020, 8:00 PM

Colin Vandervort - Indie Game Technical Audio Designer

Career Talk

Jul 10, 2020, 9:00 PM

My experience with interviewing as an enterprise software engineer

Career Talk

Jul 10, 2020, 11:00 PM

College Admissions, College Life, and First Jobs

Expert Lunch

Jul 13, 2020, 8:00 PM

College New Grad Hiring Demystified - Tips From a Recruiter (Erwin Chan)

Tech Talk

Jul 13, 2020, 11:00 PM

Using AI to Craft Conversational Experiences

Career Talk

Jul 14, 2020, 6:00 PM

17 Tips for Working in Tech

Expert Lunch

Jul 14, 2020, 7:00 PM

Steven Stadnicki - 20 Years of Game Dev Revealed!

Tech Talk

Jul 15, 2020, 5:00 PM

Big Data Journey and solving real word problems

Tech Talk

Jul 15, 2020, 7:00 PM

Machine Learning and Algorithm vs Data

Career Talk

Jul 16, 2020, 6:30 PM

Careers in Product, Dev, and QA Panel

Career Talk

Jul 17, 2020, 3:00 PM

Career Progression for New Grads with Zero Experience

Expert Lunch

Jul 20, 2020, 7:30 PM

College New Grad Hiring Demystified - Part II, Your Questions Answered

Tech Talk

Jul 20, 2020, 9:00 PM

The Road of Robotics Research

Career Talk

Jul 21, 2020, 8:00 PM

Prehistoric computing 1960s-1970s

Career Talk

Jul 22, 2020, 4:00 PM

Venture Financing in a COVID World

Tech Talk

Jul 22, 2020, 10:00 PM

Trust through Verification

Expert Lunch

Jul 23, 2020, 7:00 PM

Professor Blake Hannaford - Robotics Expert from UW Electrical and Computer Engineering

Tech Talk

Jul 23, 2020, 8:30 PM

Docker and container based solutions

Tech Talk

Jul 27, 2020, 3:30 PM

The Invisible Code - Data Engineering in 2020

Tech Talk

Jul 27, 2020, 6:00 PM

Web Scraping using C# and Python on ScrapingHub

Career Talk

Jul 27, 2020, 9:00 PM

How We Matched You to Your CodeLabs Team (A Journey From From Elastic Search to Marriage Algorithms)

Career Talk

Jul 28, 2020, 7:00 PM

You Should Make Things

Expert Lunch

Jul 28, 2020, 9:30 PM

The day to day life of a Data Scientist

Career Talk

Jul 29, 2020, 7:00 PM

Find your cardboard box.

Tech Talk

Jul 29, 2020, 9:30 PM


Tech Talk

Jul 30, 2020, 9:00 PM

Game Engine Architecture

Tech Talk

Jul 31, 2020, 4:30 PM

Continous Integration and Continous Delivery for Machine Learning Models