Campus ML Research Engineer (Intern)
Jump Trading2 months ago
London, United KingdomIntern
Responsibilities
- Apply advanced machine learning techniques to complex quantitative finance problems.
- Collaborate with researchers and quantitative teams to build flexible, reusable financial ML frameworks.
- Optimize ML training pipelines for high-performance computing resources.
- Integrate ML models into low-latency production systems.
- Build observable, performant, and flexible large-scale ML systems.
- Improve research productivity by reducing iteration cycle time.
Requirements
- Proficiency in Python and/or C++.
- Proficiency in PyTorch, JAX, TensorFlow, or another deep learning library.
- Expertise in GPU or accelerator programming, including CUDA, Triton, SYCL, ROCm, or equivalent.
- Experience building large-scale ML systems with substantial training data or low-latency/high-throughput inference requirements.
- Strong written and verbal communication skills in English.
- Ability to work collaboratively and solve challenging technical problems.
- Reliable and predictable availability.
Benefits
- International students are encouraged to apply.
- Work visa sponsorship is available for full-time positions.
Categories
About Jump Trading
Jump Trading is a privately held quantitative and high-frequency trading firm that designs low-latency systems and models to trade global markets across asset classes, including equities, futures, options, and cryptocurrencies. It trades its own capital rather than selling software or services, and operates from Chicago with offices across North America, Europe, and Asia; the firm was founded in 1999. Affiliates include Jump Crypto for digital assets and the venture arm Jump Capital.