AI Research Engineer Intern — Scalable Finance ML

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

Job summary

Jump Trading Group in New York is seeking 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 contribute to research-driven development and production deployments in a fast-paced environment.

Responsibilities include optimizing training pipelines on HPC clusters, developing low-latency inference systems, and pushing AI/ML capabilities from concept to production using C/C++, Python, CUDA,

Qualifications

• Proficiency in Python and/or C++.
• Experience building AI/ML systems at scale (hundreds of TBs of data, low-latency/high-throughput inference).
• Excellent written and verbal English communication.

Responsibilities

• Apply state-of-the-art techniques to complex domains.
• Collaborate with researchers and quants to build flexible AI/ML frameworks for finance.
• Optimize training pipelines to maximize HPC resource use.
• Integrate AI/ML models into production with low latency requirements.
• Work with C/C++, Python, CUDA and other low-level GPU languages.
• Build scalable AI/ML systems that are observable and performant.

Skills

Python

C++

PyTorch

JAX

TensorFlow

Team player

AI/ML at scale

English

Tools

CUDA

Job description

Jump Trading Group in New York is seeking 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 contribute to research-driven development and production deployments in a fast-paced environment.

Responsibilities include optimizing training pipelines on HPC clusters, developing low-latency inference systems, and pushing AI/ML capabilities from concept to production using C/C++, Python, CUDA,