Machine Learning Engineer Internship, June-September

Full job description

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. 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. During the programme, you'll work on projects mentored closely by the full-time employees who designed them, with access to a growing GPU cluster containing thousands of H100/H200/B200s. The interview process follows the same structure as our Software Engineering 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 skills. About You: an undergraduate, postgraduate or PhD student with practical experience training an ML model, working on an ML library, or optimising an ML workflow; a top-notch programmer with a love for technology; intellectually curious, collaborative, and eager to learn; humble and unafraid to ask questions and admit mistakes; fluent in English.