Campus AI Research Engineer: Scalable ML for Markets

P2P; New York (NY); On-site; USD 255,000 - 345,000; Full time

Benefits offered by this job

Visa sponsorship

Job summary

Jump Trading Group seeks world-class engineers to build state-of-the-art ML systems that drive innovative research in quantitative finance. You will work with researchers, traders, and engineers to develop scalable AI/ML frameworks and low-latency inference solutions.

You will apply Python/C++ across multi-language stacks, optimize training on HPC clusters, and push AI capabilities from concept to production, with emphasis on observable, high-performance systems and strong collaboration.

Qualifications

• Strong Python and C++ programming skills.
• Experience with AI/ML systems at scale and low-latency requirements.
• Proficiency with PyTorch, TensorFlow or similar frameworks.
• Experience with GPU/accelerator programming (CUDA, Triton, SYCL, ROCm).

Responsibilities

• Apply state-of-the-art techniques to complex domains in quantitative finance.
• Collaborate with researchers, quants, and engineers to build reusable ML frameworks for production use.
• Optimize training pipelines to leverage HPC resources.
• Integrate AI/ML models into latency-sensitive production systems.

Skills

Python

C++

PyTorch

TensorFlow

GPU programming

Low-latency systems

English communication

Team collaboration

Tools

CUDA

High-performance computing

Job description

Jump Trading Group seeks world-class engineers to build state-of-the-art ML systems that drive innovative research in quantitative finance. You will work with researchers, traders, and engineers to develop scalable AI/ML frameworks and low-latency inference solutions.

You will apply Python/C++ across multi-language stacks, optimize training on HPC clusters, and push AI capabilities from concept to production, with emphasis on observable, high-performance systems and strong collaboration.