Campus AI Research Engineer - Finance ML Systems

Tradermath; New York (NY); Hybride; USD 255 000 - 345 000; Plein temps

Résumé du poste

Jump Trading Group in New York seeks a research scientist to apply machine learning to financial markets, translating research into production systems and collaborating with researchers, quants, and engineers.

You will develop scalable ML systems, optimize training pipelines on HPC resources, and work across Python, C++, CUDA, with PyTorch/JAX/TensorFlow. This role welcomes international students on CPT/OPT and offers a competitive base salary.

Qualifications

• Strong publication record in ML conferences (e.g., ICML/NeurIPS/AAAI).
• Solid ML foundation with modern deep learning and language models.
• Proficient in Python and C++ development.
• Experience with ML libraries such as PyTorch, JAX, TensorFlow.
• Ability to translate research into production and collaborate cross-functionally.

Responsabilités

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

Connaissances

Publication record

ML fundamentals

Python & C++

Collaboration

Productionization

Outils

PyTorch

JAX

TensorFlow

CUDA

Description du poste

Jump Trading Group in New York seeks a research scientist to apply machine learning to financial markets, translating research into production systems and collaborating with researchers, quants, and engineers.

You will develop scalable ML systems, optimize training pipelines on HPC resources, and work across Python, C++, CUDA, with PyTorch/JAX/TensorFlow. This role welcomes international students on CPT/OPT and offers a competitive base salary.