We’re looking for a Machine Learning Intern to help us build products that will give teachers the benefit of an AI co-pilot without requiring students to sit at Chromebooks.
We refuse to be ordinary, so neither is this job description! At the core of our work is our belief that teachers hold the power to move educational outcomes forward. We want technical experts who not only care deeply about solving complex problems, but also about impact. It is our responsibility to include the people impacted during model design, consider human engagement risks, and protect our students. So if you’re down to push on how ML models can improve equity in education, let’s talk!
What we’re looking for and why we need you!
We are seeking an eager Machine Learning Intern in our pursuit of bringing computer vision-language-enabled solutions to education. Too many AI solutions in education require students to sit on Chromebooks using a janky UX to interact with an AI chatbot. Not for our kids, thank you – to us, that’s a dystopia. We envision a world where students challenge each other through discussion, try hard at hard problems, and build core knowledge. For AI to have a role in the world we envision, the AI needs to be able to diagnose student work using optical sensors, freeing students from the constraints of the keyboard.
There’s no more natural gauge of whether you understand a math problem than working it out with nothing more than a question and a pencil. We’re working on a 3-year work study funded by the Bill & Melinda Gates Foundation to collect a large sample of handwritten student work, hire math content experts to diagnose the work, and train an AI to replicate the expert diagnosis. We are looking to expand the capacity of our team of engineers to build models capable of making the nuanced distinction between correct and partially correct work that can handle image inputs that combine numbers, figures, and text. It’s a hard problem filled with exciting opportunities to push the state of the art. The goal is to build delightful products and experiences for millions of students, teachers, and families.
We’re looking for Machine Learning Interns to join us as we build products that will give teachers the benefit of an AI co-pilot without requiring students to sit at Chromebooks. This is a 12 week internship, with a tentative start date of November 1, 2023.
At EdLight, You Will:
If you are interested in this role, please complete our application form (linked here).