Campus ML Research Engineer (Intern)

About the Role Join Jump Trading as a Campus ML Research Engineer (Intern) in London to contribute to world-class ML research and production-quality ML systems in quantitative finance. You'll work with researchers, traders, and engineers to push the boundaries of ML for global financial markets and help deploy models from concept to production. What You'll Do

• Apply state-of-the-art techniques to complex and challenging domains.
• Work closely with researchers and quants to build flexible and reusable frameworks for financial ML.
• Optimize training pipelines to make the best use of our HPC resources.
• Integrate ML models into production systems where latency matters.
• Work across a mix of programming languages: C / C++ / Python / CUDA and other low-level GPU languages.
• Build large scale ML systems that are observable, performant, and flexible.
• Help improve productivity by reducing the iteration cycle time on research.
• Other duties as assigned or needed. What We're Looking For
• Creative thinkers who are driven, self-motivated, and eager to solve challenging problems.
• Proficiency in Python and/or C++.
• Proficiency in Pytorch, JAX, Tensorflow or other DL library.
• Ability to thrive in a collaborative, team-oriented environment.
• Expertise in GPU or Accelerator programming (CUDA, Triton, SYCL, ROCm or equivalent).
• Experience building ML systems at large scale (hundreds of TBs of training data, low latency or high throughput inference requirements).
• Excellent written and verbal communication skills in English.
• Reliable and predictable availability.
• INTERNATIONAL STUDENTS are encouraged to apply; CPT/OPT eligibility and we sponsor work visas for full-time positions.