About this role
About the Role Jump Trading Group is seeking a Campus AI Researcher (PhD/Postdoc) intern in London to advance machine learning within quantitative research and monetisation. This role focuses on turning state-of-the-art ML research into production-ready tools and models used by trading researchers and engineers. What You'll Do
- Implement open-ended ML research projects from concept to production, collaborating with trading researchers, quantitative researchers, and engineers.
- Continuously improve model design, tooling, and infrastructure across the quantitative research and monetisation process.
- Conduct rigorous experiments, analyze results, and communicate findings to cross-functional teams. What We're Looking For
- Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent and/or contributions to open-source AI research.
- Strong general ML background with exposure to modern deep learning techniques and/or language modeling architectures (e.g. transformers, SSMs).
- Solid development skills in Python and/or C++.
- Familiarity with ML libraries/frameworks such as PyTorch, TensorFlow, and/or JAX.
- Intellectual curiosity, versatility, and originality combined with a pragmatic outlook.
- Ability to thrive in a collaborative, team-oriented environment; communicate effectively with trading researchers.
- Reliable and predictable availability.
- International students encouraged; CPT/OPT eligible; and visa sponsorship for full-time positions. Nice to Have
- Experience with HPC and distributed large model training.
- Experience with GPU performance optimization (CUDA or ROCm).
- Experience with end-to-end model development.
- Strong opinions on best practices in ML research, tooling, and/or infrastructure. Compensation & Benefits
- Salary and benefits not disclosed.
- Internship program specifics will be provided during recruitment.