Jane Street is seeking machine learning interns to work on cutting-edge algorithmic trading problems. Interns will collaborate with full-time employees, process massive financial datasets, and develop sophisticated machine learning models in a fast-paced, intellectually challenging environment.

Develop advanced machine learning models and strategies for algorithmic trading, processing petabytes of complex financial market data and generating robust predictive insights using sophisticated computational techniques.

Candidates must have strong programming skills in Python, deep understanding of machine learning techniques, ability to quickly adapt to new problem domains, and experience with applied or academic machine learning research. Strong mathematical and logical thinking skills are essential.

Interns receive mentorship from experienced researchers, access to state-of-the-art GPU computing resources, comprehensive training, exposure to global trading operations, and an opportunity to work on real-world machine learning challenges in a collaborative, innovative environment.

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