Campus AI Research Engineer: Quant Finance Impact

Jump Trading; New York (NY); Hybrid; USD 255,000 - 345,000; Full time

Job summary

Jump Trading Group seeks world-class engineers to collaborate with our research, trading, and engineering teams to build state-of-the-art ML systems for quantitative finance. You will optimize training pipelines on HPC clusters, develop low-latency inference, and push AI/ML from concept to production using C/C++, Python, CUDA.

Based in the United States, this fast-paced role offers impactful projects across research and production systems.

Qualifications

• Proven ability for building ML systems in production environments.
• Strong in Python and C++, with GPU programming experience.
• Experience with modern ML frameworks (PyTorch, TensorFlow).
• Experience scaling ML training on large HPC clusters.

Responsibilities

• Apply state-of-the-art techniques to complex domains.
• Collaborate with researchers and quants to build reusable ML frameworks.
• Optimize training pipelines to utilize HPC resources efficiently.
• Integrate AI/ML models into latency-sensitive production systems.
• Work across C/C++, Python, CUDA and other GPU languages.
• Build scalable, observable AI/ML systems with high performance.
• Other duties as assigned or needed.

Skills

Python

C++

CUDA

PyTorch

JAX

TensorFlow

GPU programming

Distributed systems

Job description

Jump Trading Group seeks world-class engineers to collaborate with our research, trading, and engineering teams to build state-of-the-art ML systems for quantitative finance. You will optimize training pipelines on HPC clusters, develop low-latency inference, and push AI/ML from concept to production using C/C++, Python, CUDA.

Based in the United States, this fast-paced role offers impactful projects across research and production systems.