Machine Learning Engineer

About This Role

This Machine Learning Engineer role offers an unparalleled educational experience, providing a real sense of working at Jane Street. You will collaborate with full-time mentors on real-world ML projects, focusing on machine learning applications and techniques within the company's global business.

Responsibilities

• Work on projects mentored closely by full-time employees
• Consider big-picture questions and build new solutions
• Gain an understanding of the differences between textbook machine learning and its application to noisy financial data

Requirements

• Undergraduate, postgraduate, or PhD student with practical experience training an ML model, working on an ML library, or optimizing 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
• Fluent in English

Application Process

• Initial technical coding interview over Zoom
• On-site interview with 2-4 technical rounds, including one dedicated to assessing ML engineering skills

About the Company

Machine learning is a critical pillar of Jane Street's global business. Its ever-changing trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing new ideas to be incorporated with relatively little friction. The company provides access to a growing GPU cluster containing thousands of H100/H200/B200s.