Campus ML Research Engineer (Intern)
Jump Trading17 days 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