Campus AI ML Researcher
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 will implement open-ended machine-learning research projects from concept to production and continuously improve model design, tools, and infrastructure. Your projects may support quantitative research and monetization. You will apply machine learning, statistics, programming, and market intuition to challenging research problems.
Requirements
- Machine learning
- Statistics
- Publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent
- Open-source AI research contributions
- PyTorch, TensorFlow, or JAX familiarity
- Python or C++ proficiency
- Quantitative problem-solving
- Communication with trading researchers
- Deep learning
- 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