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Posted June 22, 2026

Machine Learning Researcher

Jane Street

Category:Quantitative Research

Location:Hong Kong

Seniority
Student
Employment type
Intern

Requirements

  • An undergraduate, PhD student, or postdoc with practical experience working on ML problems
  • Interested in applying logical and mathematical thinking to all kinds of problems
  • Curious about the machine learning landscape and excited to apply state-of-the-art techniques drawn from many problem domains
  • Fluent with a versatile set of models and tricks
  • Able to rapidly implement and iterate on your ideas in Python and your favorite ML framework
  • Eager to ask questions, admit mistakes, and learn new things
  • Fluent in English

About the role

At Jane Street, the lines between research, technology, and trading are intentionally blurry, and you’ll have access to petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing tens of thousands of high-end GPUs. Trading poses unusual challenges—large models and nonstationary datasets in a competitive multi-agent environment—that force us to search for novel techniques.

Note that given the IP-sensitive nature of machine learning research at Jane Street, it is unlikely that any research findings associated with the internship will be suitable for outside academic publication.

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 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.

Responsibilities

  • work side by side with experienced ML Researchers on projects that we've selected for their combination of novel ML ideas and relevance to real-world systematic trading strategies
  • learn how we think about markets through challenging classes and activities
  • practice using established methods alongside our own unique twists to train practical models
  • spend the bulk of your internship working closely with full-time machine learning researchers on projects drawn from their own work
  • conduct an end-to-end study of an unexplored dataset
  • try a new modeling paradigm for a thorny problem
  • diving deep into market data
  • tuning hyperparameters
  • debugging training issues
  • analyzing the predictions your model makes

What you'll get

  • Jane Street will provide flights to and from Hong Kong, and accommodation throughout the entirety of the program

Skills

Python · ML framework · machine learning