Machine Learning Researcher

Summary

Join Jane Street as a Machine Learning Research intern and explore ways to approach and solve cutting-edge machine learning problems through fun and challenging classes, interactive sessions, and group discussions. As a researcher, you will be paired with full-time employees who act as mentors, collaborating on real-world projects.

Requirements

• Have advanced machine learning experience in either an applied or academic context
• Have a deep understanding of a wide variety of ML techniques
• Be able to iterate with model architectures, feature transformations, and hyperparameters to generate robust inferences
• Have the ability to quickly absorb the context of a new problem, carefully consider tradeoffs, and recommend possible solutions
• Be an undergraduate, PhD student, or postdoc with practical experience working on ML problems
• Be able to apply logical and mathematical thinking to all kinds of problems
• Be intellectually curious — asking great questions is more important than knowing all the answers
• Be a strong programmer in Python
• Be an open-minded thinker and precise communicator who enjoys interacting with colleagues from a wide range of professional backgrounds and areas of expertise
• Be eager to ask questions, admit mistakes, and learn new things

Responsibilities

• Build models, strategies, and systems that price and trade thousands of financial instruments algorithmically
• Process petabytes of data produced by adversarial markets that evolve everyday

Benefits

Gain an understanding of the differences between textbook machine learning and its application to noisy financial data