Machine Learning Engineer
- Location
- New York, NY · On-site
- Job type
- Internship
- Level
- Entry level
- Listed
- 30 days ago
Skills & highlights for this role
- machine learning
- ML model training
- ML workflow optimization
Also useful
- GPU cluster
- H100
- distributed training
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.
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
From Jane Street's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
Where is the Machine Learning Engineer job at Jane Street located?
This Machine Learning Engineer position at Jane Street is located in New York, NY (On-site). Always check Jane Street's application page for specific state eligibility or relocation policies.
What qualifications are required for Machine Learning Engineer at Jane Street?
For the Machine Learning Engineer role, Jane Street highlights experience with machine learning, ML model training, ML workflow optimization. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Machine Learning Engineer position at Jane Street?
This listing links directly to Jane Street's Greenhouse application page. You can apply directly on Jane Street's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.