Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Engineer while also providing a truly unparalleled educational experience
You'll be paired with full-time employees who act as mentors, collaborating with you on real-world ML projects we actually need done.
Many classes and activities are shared with our Software Engineering interns, while others focus specifically on machine learning applications and techniques.
</p> <p>Machine learning is a critical pillar of Jane Street's global business.
Our ever-changing trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing us to incorporate new ideas with relatively little friction.
If you’d like to learn more, you can have a look at our Machine Learning <a href=" <p>During the programme, you'll work on projects mentored closely by the full-time employees who designed them.
Some projects consider big-picture questions that we're still trying to figure out, while others involve building something new.
You will get access to our growing GPU cluster containing thousands of H100/H200/B200s and gain an understanding of the differences between textbook machine learning and its application to noisy financial data.
</p> <p>The interview process follows the same structure as our <a href="https://www.
com/preparing-for-a-software-engineering-interview/">Software Engineering</a> Intern interviews, with one key addition: after your initial technical coding interview over Zoom, you'll have an on-site interview with 2-4 technical rounds, including one dedicated to assessing ML engineering.
Learn more about Jane Street's internship programme here.
If you've never thought about a career in finance, you're in good company