Jane Street is seeking an experienced Machine Learning Engineer to join their ML team in London, focusing on developing sophisticated ML infrastructure and applying cutting-edge techniques to enhance trading decision-making processes.
Primary responsibilities include building and maintaining training and inference infrastructure for machine learning systems, developing robust research workflows, and implementing advanced modeling techniques across neural networks, random forests, and ensemble methods.
Required experience includes strong mathematical foundations, expertise in ML frameworks like PyTorch, deep understanding of optimisation theory, regularisation techniques, and linear algebra, with proven ability to create reproducible research codebases and stay current with state-of-the-art ML developments.
The role offers an opportunity to work in a unique, rapidly evolving trading environment that provides immediate feedback for ML experimentation, with a collaborative team passionate about technological innovation and solving complex computational challenges.
