Jump Trading / Jump Crypto
Campus ML Research Engineer (Full-Time)
Full-time graduate machine learning research engineer role at Jump Trading building large-scale ML systems for quantitative finance applications, collaborating closely with researchers and quants.
Responsibilities
- Apply state-of-the-art techniques to complex domains.
- Collaborate with researchers and quants to build flexible and reusable financial ML frameworks.
- Optimize training pipelines on HPC resources.
- Integrate ML models into low-latency production systems.
- Develop using C, C++, Python, CUDA, and other GPU languages.
- Build large scale observable, performant, and flexible ML systems.
- Improve research productivity by reducing iteration cycle times.
- Other duties as assigned.
Skills
- Proficiency in Python and/or C++.
- Knowledge of PyTorch, JAX, TensorFlow, or other DL libraries.
- Expertise in GPU or accelerator programming such as CUDA, Triton, SYCL, or ROCm.
- Experience building ML systems at large scale with low latency or high throughput requirements.
- Creative, self-motivated problem solver.
- Excellent written and verbal communication.
- Reliable and predictable availability.
- Employer posted
- Last checked