Machine Learning Engineer
Jane Street•4h ago
United StatesOnsiteInternshipIntern Level0-1 yrs exp
Visa-friendly
Top focus
Ml EngineerSenior Ml EngineerDeep Learning EngineerRl Engineer
- 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
- 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
- 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 one 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
- 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
Required skills
Machine LearningPython