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

Monday, June 26 Friday, August 18
Volunteer

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.
Simple Tracer
Mentor: Paul Nabende, MasterCard Labs
QuickCMS
Mentor: Shubham Naik, Ancestry
PKGsquirrel
Mentor: Pranay Gupta, Axon
Portfolio Manager
Mentor: Shashank Sabniveesu, Broadridge
Accountability Buddy
Mentor: Pete Bekos, NDA
Sentiment Analysis
Mentor: Niharika Sharma, Nasdaq
Student Library Management
Mentor: Meena Bhujang, T-Mobile
Anyvent
Mentor: Tyler Menezes, CodeDay
Scoutsman
Mentor: Quinten Geddes, Independent contractor at NextEra Analytics
Castway
Mentor: Michael Lorton, Outschool

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?

Intermediate Track

More guided projects for college freshmen/sophomores/juniors with technical skills, but limited experience working independently.
This is the right track for you if you're a college students who has completed 101/102-level CS classes but not much more (and high school students with experience building projects at hackathons).
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.)

Advanced Track

For college juniors/seniors who have higher-level CS knowledge or others with 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.

As an international student in a programming major, you guys totally helped me to start my wonderful career path! In a three years degree, I had you guys as my first experience, Meta as my second, and Microsoft as my third, and this last one gave me a full time return offer.
Luiza Cartaxo, Labs Advanced-Track
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

COVIZ 19
Advanced Track

Mentor: Yang Xu, Engineer at LexisNexis Risk Solution
We will design a system to fetch data from REST api and store data in a database. The system is comprehensive with various functionalities such as input/output, caching, logging, etc. The system has to be highly scalable so that it could handle big amount of data.

LiDAR Data Visualization
Advanced Track

Mentor: Omar Shehata, Graphics engineer at Cesium
Create a web app to visualize LiDAR data from self driving cars.

LiDAR is a way of obtaining an accurate 3D representation of a scene, often used in self driving cars to detect their surroundings. Lyft recently released a large dataset of sensor readings from their self driving car work: https://level5.lyft.com/dataset/

Most analysis done on data like this is done without visualizing all the data together, because it's in different formats/too large to efficiently visualize in real time. This project would involve taking this data, converting it to a standard format that Cesium's pipeline can ingest (likely using Python since it has many of the helper libraries you'll need), and then building an application to visualize it in 3D using Cesium's JavaScript library.

This would not only help people get more insight out of this particular dataset, but would provide a framework for anyone doing self driving car analysis to see their result and share their research. For inspiration you can see how people are analyzing this data in this Kaggle competition:

https://www.kaggle.com/c/3d-object-detection-for-autonomous-vehicles/discussion/109415

AltML
Beginner Track

Mentor: Saharsh Yeruva, RM at CodeDay
A chrome extension that looks at all the images on a webpage. If there is an image that does not have an alt tag, use ml to generate one so that screen-readers can actually recognize it.