Machine Learning Research - Summer Internship

Machine Learning Research - 2027 Summer Internship

Our goals are to give you a real sense of whatit's like to work at Jane Street as a Machine Learning Researcher while also providing a truly unparalleled educational experience. You'llwork side by side with experienced ML Researcher son projects that we've selected for their combination of novel ML ideas and relevance toreal-world systematic trading strategies.

You'll learn how we think about markets through challenging classes and activities, and practice using established methods alongside ourown unique twists to train practical models.

At Jane Street, the lines between research,technology, and trading are intentionally blurry,and you’ll have access to petabytes of data, acomputing cluster with hundreds of thousands ofcores, and a growing GPU cluster containing tensof 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.

You'll spend the bulk of your internship 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 modelling paradigm for a thorny problem, or consider blue-sky approaches that we're still trying to figureout. 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 theday, you might be diving deep into market data,tuning hyperparameters, debugging training issues,or analysing the predictions your model makes.

Note that given the IP-sensitive nature ofmachine 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 infinance, you're in good company. Many of uswere in the same position before working here. Ifyou have a curious mind and a passion for solving interesting problems, we have a feeling you'llfit right in. We're more interested in how youthink and learn than what you currently know. Youshould 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 drawn from many problem domains
• Fluent with a versatile set of models andtricks
• Able to rapidly implement and iterate onyour ideas in Python and your favourite ML framework
• Eager to ask questions, admit mistakes,and learn new things

If you'd like to learn more, you can readabout our interview process, meet some of theteam, and learn more about Jane Street'sinternship program on our website.

Computer Science, Data, AI,Engineering & Technology,Life and Health Sciences, Medicine,Natural Sciences & Mathematics