Machine Learning Engineer

Janestreet; Greater London; On-site; GBP 18,000 - 28,000; Full time

Job summary

Jane Street in London is seeking a motivated ML Engineer intern to work on real-world ML projects under experienced mentors. You will collaborate with full-time engineers, apply ML methods to noisy financial data, and gain hands-on experience with a GPU cluster.

You'll join a program designed to teach by doing, with structured classes and project work, mentorship, and exposure to high-impact ML applications in trading. Fluency in English and a curious, collaborative mindset are required.

Qualifications

• 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
• Fluent in English

Responsibilities

• Work on ML projects mentored by full-time employees
• Gain access to our GPU cluster containing thousands of devices and learn application to noisy financial data
• Participate in the internship interview process and learn through mentored experiences

Skills

ML experience

Programming skills

English fluency

Education

Undergraduate/Graduate/PhD student

Job description

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 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
• Fluent in English

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