Machine Learning Engineer

Janestreet; Greater London; On-site; GBP 28,000 - 36,000; Full time

Job summary

Jane Street offers an internship where you'll be paired with mentors and collaborate on real-world ML projects the team actually needs done.

You'll work on projects mentored by full-time staff, with access to a GPU cluster containing thousands of GPUs to explore ML in finance beyond textbook examples.

Qualifications

• Undergraduate, postgraduate or PhD with practical experience training an ML model, or improving an ML workflow.
• A strong programmer with a love for technology.
• Curious, collaborative and eager to learn, with fluency in English.

Responsibilities

• Work on ML projects mentored by full-time employees who designed them.
• Collaborate on real-world ML applications needed by the team.
• Engage in projects that range from big-picture questions to building something new.

Skills

ML model training

ML library

ML workflow optimization

Strong programming

Team collaboration

English fluency

Tools

GPU cluster

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