Campus AI/ML Researcher (Fall 2026)
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
About the Role
Implement open-ended machine-learning research projects from concept to production, continuously improve model design, tools, and infrastructure, and apply machine learning, statistics, programming, and market intuition to quantitative research and monetization problems.
Requirements
- Machine learning and statistics
- Publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent
- Open-source AI research contributions
- Familiarity with PyTorch, TensorFlow, or JAX
- Proficiency in Python or C++
- Quantitative problem-solving ability
- Effective communication with trading researchers
- Deep learning and language-model architectures, including transformers or SSMs
- Reliable and predictable availability
Responsibilities
- Implement machine-learning research projects from concept to production
- Continuously improve model design, tools, and infrastructure
- Develop research for quantitative research and monetization processes