ꓟachine ꓡearning ꓣesearcher
Jane StreetAbout the Role
This summer internship offers a real sense of what it's like to work at Jane Street as a Machine Learning Researcher while providing an unparalleled educational experience. You'll work side by side with experienced ML Researchers on projects combining novel ML ideas with relevance to real-world systematic trading strategies. You'll have access to petabytes of data, a computing cluster with hundreds of thousands of cores, and tens of thousands of high-end GPUs to solve unusual trading challenges.
Throughout the internship, you'll conduct end-to-end studies of unexplored datasets, try new modeling paradigms for complex problems, or explore blue-sky approaches. You might be diving deep into market data, tuning hyperparameters, debugging training issues, or analyzing model predictions. The work requires collaboration across the firm and often involves problems without clean, definitive answers.
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
What You'll Get
- Flights to and from Hong Kong
- Accommodation throughout the entirety of the program