The role
About the opportunity
What you will do
- Build reusable frameworks for financial machine learning.
- Optimise training pipelines for high-performance computing.
- Integrate ML models into latency-sensitive production systems.
- Build large-scale, observable ML systems.
- Work with C, C++, Python, CUDA, and other low-level GPU technologies.
Relevant skills
- Python and/or C++.
- PyTorch, JAX, TensorFlow, or another deep-learning library.
- GPU programming with CUDA, Triton, SYCL, ROCm, or similar tools.
- Large-scale ML systems, including very large training datasets and low-latency or high-throughput inference.
- Strong written and verbal English.
- Creativity, self-motivation, collaboration, and reliable availability.
Jump does not expect every candidate to have every listed skill. International candidates are encouraged to apply. Jump states that it sponsors work visas for full-time positions.
