Campus AI Research Engineer – Deep Learning
Jump Trading is a global trading firm.
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
Apply advanced machine-learning techniques to quantitative-finance problems, build reusable financial ML frameworks, optimize HPC training pipelines, integrate latency-sensitive models into production, and develop observable, high-performance ML systems using C, C++, Python, CUDA, and related GPU languages.
Requirements
- Publication record at leading machine-learning conferences or open-source AI research contributions
- Machine-learning and modern deep-learning knowledge
- Language-model architecture knowledge
- Python or C++ development
- PyTorch, JAX, or TensorFlow
- Quantitative problem-solving
- Communication with trading researchers
Responsibilities
- Apply state-of-the-art techniques to complex and challenging domains
- Build flexible and reusable frameworks for financial machine learning
- Optimize training pipelines using HPC resources
- Integrate machine-learning models into latency-sensitive production systems
- Develop large-scale observable and performant machine-learning systems
- Reduce research iteration cycle time
Benefits
- Discretionary bonus eligibility
- Medical, dental, and vision insurance
- HSA, FSA, and dependent-care options
- Employer-paid group term life and AD&D insurance
- Voluntary life and AD&D insurance
- Paid vacation and holidays
- Retirement plan with employer match
- Paid parental leave
- Wellness programs