Campus AI Research Engineer - Deep Learning (Intern)
Jump TradingAbout the Role
Jump Trading Group is seeking a Campus AI Research Engineer to apply state-of-the-art machine learning techniques to complex financial research challenges. You will work closely with researchers and quants to build flexible frameworks for financial ML, optimize training pipelines on HPC resources, and integrate models into production systems. This role involves implementing open-ended research projects from concept to production, working across C/C++/Python/CUDA, and developing large-scale ML systems that are observable, performant, and flexible.
Requirements
- 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, JAX, and/or TensorFlow
- Intellectual curiosity, versatility, and originality combined with a pragmatic outlook
- Ability to thrive in a collaborative, team-oriented environment
- Ability to reason through quantitative problems and communicate effectively with trading researchers
- Reliable and predictable availability
- 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
- Demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains
What You'll Get
- $300k+ base salary
- International students are encouraged to apply; we accept students eligible for CPT/OPT
- We sponsor work visas for full-time positions