Machine Learning Engineer

Jane Street is hiring a Machine Learning Engineer in New York, United States. Level rates it ; you can apply on Jane Street.

Level's read on this job

On Level's scale, this machine learning engineer role is Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include GPUs, H100 and H200.
Level classifies it as an internship.
Level lists 216 other open roles at Jane Street.

AI in this role

Machine learning intern to train predictive models and optimize ML workflows on large GPU clusters.

GPUsH100H200B200

machine-learningdeep-learningmlopsmodel-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.

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

How we rate this

Machine Learning Engineer at Jane Street rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Machine Learning Engineer is an open job at Jane Street.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in New York, New York, United States.
The job was posted on July 6, 2026.
Seniority: intern.
Applications are handled by Jane Street. Apply on Jane Street

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Machine learningDeep learningMLOpsModel TrainingGPUsH100H200B200

Also common in machine learning engineer jobs at this level

Python PyTorch LLM TensorFlow Deep learning AWS

Pay

Typical machine learning engineer job: $199k

This posting doesn't list pay. Use the typical machine learning engineer figure when pay comes up. See machine learning engineer jobs

Questions you could be asked

Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where deep learning was part of your work. What did you do?
Tell me about a project where mlops was part of your work. What did you do?
Tell me about a project where model training was part of your work. What did you do?
Walk me through how you've used GPUs in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Machine learning, Deep learning, MLOps, Model Training, and GPUs. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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