About the role#
Jump Trading is seeking Campus AI Research Engineers to collaborate with research, trading, and engineering teams. This role focuses on building state-of-the-art machine learning systems to solve complex problems in quantitative finance. You will work on impactful projects ranging from optimizing high-performance computing training pipelines to developing low-latency inference systems.
What you'll do#
- Apply state-of-the-art techniques to complex and challenging domains.
- Collaborate with researchers and quants to build flexible, reusable frameworks for financial AI/ML.
- Integrate AI/ML models into production systems where latency is a critical factor.
- Work across a mix of programming languages including C, C++, Python, and CUDA.
- Build large-scale AI/ML systems that are observable, performant, and flexible.
- Optimize training pipelines to maximize the utility of high-performance computing resources.
What you'll need#
- Proficiency in Python and/or C++.
- Proficiency in machine learning frameworks such as PyTorch, JAX, or TensorFlow.
- Expertise in GPU or accelerator programming, including CUDA, Triton, SYCL, or ROCm.
- Experience building AI/ML systems at scale.
- Excellent written and verbal communication skills in English.
- Ability to thrive in a collaborative, team-oriented environment.
Location & details#
- Locations: Chicago, Illinois and New York, New York.
- Modality: On-site.
- Employment: Full-time internship.
- Term: Rolling.
- Compensation: Paid position.
- Sponsorship: Available for international students eligible for CPT/OPT.
