JT
Programme
Graduate
Location
Chicago, IL · New York City, NY
About the role
Join Jump Trading as a full-time AI Research Engineer to develop advanced ML systems for quantitative finance. Collaborate with researchers and engineers to optimize AI/ML models and infrastructure in a fast-paced environment.
Role Responsibilities
- Apply state-of-the-art AI/ML techniques to complex financial domains.
- Collaborate with researchers and quantitative analysts to build reusable AI/ML frameworks.
- Optimize training pipelines for high-performance computing resources.
- Integrate AI/ML models into low-latency production systems.
- Work with programming languages including C, C++, Python, CUDA, and GPU languages.
- Build scalable, observable, and performant AI/ML systems to improve research productivity.
Required Skills
- Creative, driven, and self-motivated problem solver.
- Proficient in Python and/or C++.
- Experience with PyTorch, JAX, TensorFlow, or similar frameworks.
- Ability to work effectively in a collaborative team environment.
- Expertise in GPU or accelerator programming (CUDA, Triton, SYCL, ROCm, etc.).
- Experience building AI/ML systems at scale with large datasets and inference requirements.
Additional Information
- Excellent written and verbal communication skills in English.
- Reliable and predictable availability.
- International students eligible for CPT/OPT encouraged to apply.
- Work visa sponsorship available for full-time positions.
- Estimated base salary ranges from $250,000 to $300,000 per year.