AI Research Engineer Intern: Deep Learning for Finance

P2P; New York (NY); On-site; USD 270,000 - 330,000; Full time

Benefits offered by this job

Visa sponsorship

CPT/OPT eligible

Job summary

Jump Trading Group in the United States seeks research scientists to apply machine learning to state-of-the-art challenges in finance. You will drive open-ended projects from concept to production, improving model design, tools, and infrastructure while collaborating with researchers and quants.

The role requires strong ML background, publication record, and hands-on coding in Python/C++, with experience in PyTorch/JAX/TensorFlow and GPU languages. Visa sponsorship may apply for select roles.

Qualifications

• Strong publication record at top AI/ML venues or open-source contributions.
• Solid ML background with deep learning and/or language modeling experience.
• Proficient in Python and C++, with experience in ML libraries.
• Ability to translate research into production-ready systems and benchmarks.

Responsibilities

• Apply state-of-the-art ML techniques to complex financial domains.
• Collaborate with researchers and quants to build reusable ML frameworks.
• Optimize training pipelines to leverage HPC resources efficiently.
• Integrate ML models into latency-sensitive production systems.
• Work across C/C++, Python, CUDA and other low-level GPU languages.
• Develop large-scale ML systems that are observable and performant.

Skills

ML research

Python

C/C++

PyTorch

TensorFlow

Tools

CUDA

PyTorch

JAX

TensorFlow

Job description

Jump Trading Group in the United States seeks research scientists to apply machine learning to state-of-the-art challenges in finance. You will drive open-ended projects from concept to production, improving model design, tools, and infrastructure while collaborating with researchers and quants.

The role requires strong ML background, publication record, and hands-on coding in Python/C++, with experience in PyTorch/JAX/TensorFlow and GPU languages. Visa sponsorship may apply for select roles.