Jane Street
Machine Learning Researcher
New York, New York, United States · Internship · Posted Jul 6, 2026
- Experience
- Practical experience working on ML problems; no number of years stated.
- Education
- Undergraduate, PhD student, or postdoc.
About the job
Work with Jane Street machine learning researchers on practical ML projects relevant to systematic trading, from studying datasets to developing models and analyzing their predictions.
What you'll do
- Conduct end-to-end studies of datasets and explore modeling approaches for trading-related problems.
- Implement, train, tune, and debug practical machine learning models.
- Analyze model predictions and collaborate with researchers and colleagues across the firm.
What they ask for
- Be an undergraduate, PhD student, or postdoc with practical experience working on ML problems.
- Be able to rapidly implement and iterate on ideas in Python and a favorite ML framework.
- Have a versatile set of models and techniques.
Nice to have
- Curiosity about the machine learning landscape and interest in applying state-of-the-art techniques from many problem domains.
- Interest in applying logical and mathematical thinking to a range of problems.
Tools
Python
AI focus
Develop and apply machine learning models to challenges in systematic trading, including work with large models and nonstationary datasets.
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