Machine Learning Engineer
Jane Street2 months ago
Hong Kong, Hong KongSenior
Responsibilities
- Help drive the direction of Jane Street’s machine learning platform.
- Apply appropriate machine learning approaches, including neural networks, random forests, gradient-boosted trees, and ensemble methods, to support decision-making.
- Build and maintain training and inference infrastructure and move ML systems from concept to production.
- Enhance research workflows to shorten feedback cycles.
- Design and maintain usable, organized, and reproducible ML research codebases.
Requirements
- Experience building and maintaining training and inference infrastructure and taking ML systems from concept to production.
- Strong mathematical background, including interest in optimization theory, regularization techniques, and linear algebra.
- Ability to create and maintain organized research codebases that produce robust, reproducible results while remaining easy to use.
- Expertise with an ML framework such as PyTorch, Jax, or TensorFlow.
- Ability to evaluate modeling approaches and tools, stay current with state-of-the-art research, and investigate academic papers and emerging hardware or packages.
- Fluency in English.
Tech Stack
PyTorchTensorFlow
Categories
About Jane Street
Jane Street is a global quantitative trading firm and liquidity provider that builds in-house software and research platforms to trade across asset classes. It makes markets and executes proprietary strategies on exchanges and electronic venues, serving institutional markets rather than individual investors. Founded in 2000 and headquartered in New York, it is privately held with offices in London, Hong Kong, Singapore, and Amsterdam.