JT
Jump TradingLondonInternship
Campus ML Research Engineer (Intern)
Join Jump Trading Group as a Campus ML Research Engineer Intern in London, working on cutting-edge machine learning systems for quantitative finance. Collaborate with researchers and engineers to optimize training pipelines and develop low-latency inference systems.
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Role Responsibilities
- Apply state-of-the-art ML techniques to complex financial domains.
- Collaborate with researchers and quantitative analysts to build reusable ML frameworks.
- Optimize training pipelines for high-performance computing resources.
- Integrate ML models into production systems with latency constraints.
- Work with programming languages including C, C++, Python, CUDA, and GPU languages.
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Required Skills
- Creative, driven, and self-motivated problem solver.
- Proficient in Python and/or C++ programming.
- Experience with deep learning libraries like PyTorch, JAX, or TensorFlow.
- Expertise in GPU or accelerator programming (CUDA, Triton, SYCL, ROCm).
- Experience building large-scale ML systems with high data volumes and low latency.
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Additional Information
- International students eligible for CPT/OPT encouraged to apply.
- Work visa sponsorship available for full-time positions.