Campus AI Research Engineer: Quantitative Finance ML

Tradermath; New York (NY); Ibrido; USD 250.000 - 300.000; Tempo pieno

Descrizione del lavoro

Jump Trading Group seeks world-class engineers to collaborate with research, trading, and engineering teams to build state-of-the-art ML systems that tackle complex problems in quantitative finance. You will work on training pipelines on HPC clusters, low-latency inference, and production integration across C/C++, Python, CUDA, and related GPU frameworks.

The role emphasizes collaboration with researchers and quants, delivering scalable, observable systems while pushing AI/ML capabilities in

Competenze

• Proficiency in Python and/or C++.
• Experience with PyTorch, JAX, TensorFlow or similar.
• Experience with AI/ML systems at scale.
• Excellent English communication skills.

Mansioni

• Apply state-of-the-art techniques to complex domains.
• Build flexible AI/ML frameworks with researchers and quants.
• Optimize training pipelines for HPC resources.
• Integrate AI/ML models into latency-sensitive production.
• Work across C/C++, Python, CUDA and related GPU languages.
• Design large-scale, observable AI/ML systems.
• Collaborate with researchers, traders, and engineers.

Conoscenze

Python

C++

GPU programming

AI/ML systems

English proficiency

Strumenti

PyTorch

JAX

TensorFlow

CUDA

Triton

SYCL

Descrizione del lavoro

Jump Trading Group seeks world-class engineers to collaborate with research, trading, and engineering teams to build state-of-the-art ML systems that tackle complex problems in quantitative finance. You will work on training pipelines on HPC clusters, low-latency inference, and production integration across C/C++, Python, CUDA, and related GPU frameworks.

The role emphasizes collaboration with researchers and quants, delivering scalable, observable systems while pushing AI/ML capabilities in