Machine Learning Researcher Internship, May-August
Jane Street· Trading, Research, and Machine Learning
Hybrid (Hong Kong)internshipPosted 3mo ago
About the role
Internship program at Jane Street in Hong Kong exposing participants to real-world machine learning applied to trading. Work alongside full-time ML researchers on projects with novel ML ideas and practical relevance to trading strategies. Includes learning through classes, activities, and exposure to large-scale data and computing resources. Note on IP sensitivity and limited publication prospects.
Responsibilities
- Work closely with full-time machine learning researchers on projects drawn from their own work
- Conduct end-to-end studies of datasets, try new modeling paradigms, or blue-sky approaches
- Dive into market data, tune hyperparameters, debug training issues, and analyze model predictions
- Participate in classes and activities to learn about markets and ML in a trading context
Qualifications
- 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
- Fluent with a versatile set of models and tricks
- Able to rapidly implement and iterate on ideas in Python and ML frameworks
- Eager to ask questions, admit mistakes, and learn new things
- Fluent in English
Skills
Required:PythonML frameworksData analysis
Benefits
- Flight lodging and accommodation provided for Hong Kong internship
Last updated Oct 25, 2026. Interested? Apply on the company site.
About Jane Street
SIX
Jane Street is a quantitative trading firm and liquidity provider with a unique focus on technology and collaborative problem solving.
Machine learningquantitative tradingtechnologyresearch-drivenglobal marketsinternshipseventsprograms
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