Machine Learning Engineer Internship, London

Jane Street Group, LLC; Greater London; On-site; GBP 18,000 - 32,000; Full time

Benefits offered by this job

Mentorship

GPU cluster access

Job summary

Jane Street invites you to its Machine Learning Engineer Internship, June–September, in London. You’ll be paired with mentors and work on real-world ML projects the firm actually needs done, with guidance from full-time engineers.

You’ll access our GPU cluster and learn how textbook ML translates to noisy financial data, while exploring ML techniques used in a fast-paced trading environment.

Qualifications

• Undergraduate, postgraduate or PhD student with practical experience training an ML model, working on an ML library, or optimising an ML workflow.
• Top-notch programmer with a love for technology.
• Intellectually curious, collaborative, and eager to learn.
• Humble and unafraid to ask questions and admit mistakes.

Responsibilities

• Work on real-world ML projects mentored by full-time staff.
• Gain exposure to GPU cluster and ML techniques in finance.
• Participate in interview-style technical rounds during onboarding.

Skills

ML model training

ML libraries

ML workflow optimization

Strong programming

Collaborative spirit

Education

Undergraduate/Graduate/PhD student

Job description

Machine Learning EngineerInternship, June-September

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 programme, 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 one dedicated to assessing ML engineering skills.

Learn more about Jane Street's internship programme 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're more interested in how you think and learn than what you currently know. You should be:

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

Jane Street is an Equal Opportunity Employer