# ꓟachine ꓡearning ꓣesearcher [Jane Street](https://www.jorb.ai/firms/jane-street.md) · Hong Kong · [Hedge Fund & Quant](https://www.jorb.ai/jobs/hedge-fund-quant.md) Jane Street is hiring a ꓟachine ꓡearning ꓣesearcher in Hong Kong. Posted 2026-07-21; applications close 2026-09-19. **Apply**: https://job-boards.greenhouse.io/janestreet/jobs/8596771002 Posted 20h ago. ## Role details ## About the position Our goals are to give you a real sense of what it’s like to work at Jane Street as a Machine Learning Researcher, while also providing an educational experience. You’ll work side by side with experienced ML Researchers on projects selected for their combination of novel ML ideas and relevance to real-world systematic trading strategies. You’ll learn how we think about markets through challenging classes and activities, and you’ll practice using established methods alongside our own unique twists to train practical models. At Jane Street, the lines between research, technology, and trading are intentionally blurry. 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 presents unusual challenges—large models and nonstationary datasets in a competitive multi-agent environment—that push us to search for novel techniques. Most of your internship will be spent working closely with full-time machine learning researchers on projects drawn from their own work. You might conduct an end-to-end study of an unexplored dataset, try a new modeling paradigm for a challenging problem, or explore “blue-sky” approaches that we’re still working to understand. The problems we work on rarely have clean, definitive answers, and they often require insights from colleagues across the firm with different areas of expertise. Depending on the day, you may be diving deep into market data, tuning hyperparameters, debugging training issues, or analyzing the predictions your model makes. Please 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. ## About you 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 think you’ll fit right in. We’re more interested in how you think and learn than what you currently know. You should be: - 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 across many problem domains - Fluent with a versatile set of models and techniques - Able to rapidly implement and iterate on ideas in Python and your favorite ML framework - Eager to ask questions, admit mistakes, and learn new things - Fluent in English ## Additional information If you’d like to learn more, you can read about our interview process and meet some of the team. Learn more about Jane Street’s internship program here. Please note: Jane Street will provide flights to and from Hong Kong, and accommodation throughout the entire program. ## Applying to this role This ꓟachine ꓡearning ꓣesearcher role at Jane Street runs through the firm's own careers portal and expects a CV and cover letter written specifically for the posting, not a portable submission carried across firms. Jorb AI's application agent tailors a CV and cover letter from your background to this posting and tracks the role alongside the rest of your applications. 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