Campus AI Research Engineer – Research Automation (Intern)
Jump TradingAbout the Role
Jump Trading Group is seeking research scientists to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. You will implement open-ended research projects from concept to production, continuously improving model design, tools, and infrastructure across the quantitative research and monetization process. This role combines AI/ML expertise, engineering pragmatism, statistics, and market intuition.
- 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 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
Requirements
- Demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains
- Capable of implementing an open-ended research project from concept to production and continuously improving model design, tools, and infrastructure
- 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
What You'll Get
- $300k+ base salary
- We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions