Campus AI Research Engineer: Deep Learning for Markets

Tradermath; New York (NY); Hybrid; USD 270,000 - 330,000; Full time

Benefits offered by this job

CPT/OPT eligible

Work visa sponsorship

Job summary

Jump Trading Group is seeking research scientists who can apply machine learning to state-of-the-art capabilities in complex domains and translate concepts into production systems with low latency.

You will collaborate with researchers and quants to build flexible ML frameworks for financial applications, optimize training pipelines for HPC and broaden the reach of ML across the trading stack.

Qualifications

• Strong publication record at top ML venues or open-source AI contributions.
• Strong ML background with deep learning and language modeling exposure.
• Solid development skills in Python and C++.
• Familiarity with ML libraries such as PyTorch, JAX, TensorFlow.

Responsibilities

• Apply state-of-the-art techniques to complex domains.
• Collaborate with researchers and quants to build reusable ML frameworks for finance.
• Optimize training pipelines to use HPC resources efficiently.
• Integrate ML models into latency-sensitive production systems.
• Work across languages: C, C++, Python, CUDA and other GPU languages.

Skills

Publication record

ML techniques

Python

C++

CUDA

GPUs

HPC

Tools

PyTorch

JAX

TensorFlow

Job description

Jump Trading Group is seeking research scientists who can apply machine learning to state-of-the-art capabilities in complex domains and translate concepts into production systems with low latency.

You will collaborate with researchers and quants to build flexible ML frameworks for financial applications, optimize training pipelines for HPC and broaden the reach of ML across the trading stack.