Campus AI Researcher PhD/Postdoc
Jump Trading is a global trading firm where traders, engineers, and researchers develop trading strategies, models, infrastructure, and systems across asset classes and time horizons.
About Jump Trading
Jump Trading is a global trading firm focused on research-driven trading and the engineering of scalable models, tools, infrastructure, and execution systems. Its operations combine trading, technology, AI/ML, and quantitative research, and it also runs research and talent programs including conference travel grants and a fellowship program.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You conduct open-ended machine learning research in complex domains, take research projects from concept to production, improve model design, tools, and infrastructure, and apply engineering, statistical, and market knowledge to quantitative research and monetization problems.
Requirements
- Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent, and/or contributions to open-source AI research
- Strong general machine learning background
- Exposure to modern deep learning techniques and/or language modeling architectures such as transformers and SSMs
- Development skills in Python and/or C++
- Familiarity with PyTorch, TensorFlow, and/or JAX
- Ability to reason through quantitative problems and communicate with trading researchers
- Reliable and predictable availability
- Experience with HPC and distributed large model training
- Experience with GPU performance optimization using CUDA or ROCm
- Experience with end-to-end model development
Responsibilities
- Apply machine learning to achieve advanced capabilities in complex domains
- Implement open-ended research projects from concept to production
- Improve model design, tools, and infrastructure
- Contribute to quantitative research and monetization
