Machine Learning Engineer Intern

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Machine Learning Engineer Internship, May-August

LOCATION

NYC

DEPARTMENT

Trading, Research, and Machine Learning

TEAM

Machine Learning Apply Share this job

About the Position

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. 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 page. During the program, 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. 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 1-2 dedicated to assessing ML engineering skills.

Learn more about Jane Street’s internship program here. About You If you've never thought about a career in finance, you're in good company. Many of us were in the same position before working here. If you have a curious mind, a collaborative spirit, and a passion for solving interesting problems, we have a feeling you'll fit right in. We don't expect you to have a background in finance—we're more interested in how you think and learn than what you currently know. You should be:

• An undergraduate or PhD student with practical experience training an ML model, working on an ML library, or optimizing 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

Base salary is $300,000. Jane Street is an Equal Opportunity Employer Apply Share this job Helpful Links web page Machine Learning at Jane Street Learn how Machine Learning is a part of our work and explore open roles, programs, and fellowships. podcast episode Finding Signal in the Noise: Machine Learning and the Markets podcast episode The Uncertain Art of Accelerating ML Models web page Internships at Jane Street

GTKU

Get to Know Us: JP talks Machine Learning

GTKU

Get to Know Us: Matt talks Machine Learning Our office in New York