Campus ML Research Engineer
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
Build state-of-the-art machine learning systems for quantitative finance, optimize high-performance training pipelines, develop low-latency inference systems, integrate models into production, and create observable, performant systems using multiple programming languages and GPU technologies.
Requirements
- Python and/or C++ proficiency
- PyTorch, JAX, TensorFlow, or another deep learning library
- GPU or accelerator programming expertise
- CUDA, Triton, SYCL, ROCm, or equivalent experience
- Experience building large-scale machine learning systems
- Low-latency or high-throughput inference experience
- Excellent written and verbal English communication skills
- Reliable and predictable availability
- Collaborative and self-motivated approach
Responsibilities
- Apply state-of-the-art techniques to complex and challenging domains
- Build flexible and reusable frameworks for financial machine learning
- Optimize training pipelines for high-performance computing resources
- Integrate machine learning models into production systems where latency matters
- Build large-scale observable and performant machine learning systems
- Reduce research iteration cycle time
Benefits
- Private medical insurance
- Vision insurance
- Dental insurance
- Travel medical insurance
- Group pension scheme
- Group life assurance
- Income protection schemes
- Paid parental leave
- Parking benefits
- Commuter benefits