Deep Learning ML Research Intern – Fast-Paced FinTech

Jump Trading; New York (NY); On-site; USD 260,000 - 360,000; Full time

Job summary

Jump Trading Group is seeking exceptional ML researchers and engineers to apply state-of-the-art techniques to complex financial domains. You will collaborate with researchers and quants to build flexible ML frameworks and optimize training pipelines to leverage HPC resources.

You will work across Python, C++, CUDA and related ML libraries, building large-scale, observable systems and integrating models into latency-sensitive production environments.

Qualifications

• Strong ML background with deep learning or language modeling experience.
• Solid development skills in Python and C++.
• Experience with HPC and distributed large model training.
• Strong publication record at major ML conferences or contributions to open-source AI research.

Responsibilities

• Apply state-of-the-art ML techniques to complex and challenging domains.
• Work closely with researchers and quants to build flexible and reusable ML frameworks for financial ML.
• Optimize training pipelines to make the best use of HPC resources.
• Integrate ML models into production systems where latency matters.
• Work across Python, C++, CUDA and other low-level GPU languages.
• Build large-scale ML systems that are observable, performant, and flexible.

Skills

Python

C++

CUDA

ML frameworks

Collaboration

Research communication

Tools

PyTorch

JAX

TensorFlow

Job description

Jump Trading Group is seeking exceptional ML researchers and engineers to apply state-of-the-art techniques to complex financial domains. You will collaborate with researchers and quants to build flexible ML frameworks and optimize training pipelines to leverage HPC resources.

You will work across Python, C++, CUDA and related ML libraries, building large-scale, observable systems and integrating models into latency-sensitive production environments.