About the role

What will you do at Jane Street?

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 [https://www.janestreet.com/join-jane-street/machine-learning/].

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

[https://www.janestreet.com/preparing-for-a-software-engineering-interview/]

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

[https://www.janestreet.com/join-jane-street/internships/]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

Which skills does this role require?

Machine LearningProgrammingML Model TrainingML Library DevelopmentML Workflow OptimizationFinancial Data AnalysisGPU ClusterH100H200B200Financial DataSoftware EngineeringPythonMLOpsQuantitative TradingFinanceA/B Testing

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