Campus AI Research Engineer - Deep Learning (Intern)

About the role

Join Jump Trading as a Campus AI Research Engineer Intern applying state-of-the-art deep learning techniques to financial markets. Collaborate with researchers and engineers to develop and optimize machine learning models and infrastructure.

Role Responsibilities

• Apply advanced machine learning techniques to complex financial domains.
• Collaborate with researchers and quantitative analysts to build reusable ML frameworks.
• Optimize training pipelines for high-performance computing resources.
• Integrate ML models into low-latency production systems.
• Work with programming languages including C, C++, Python, CUDA, and GPU languages.
• Develop large-scale ML systems that are observable, performant, and flexible.

Required Skills

• Strong publication record or contributions to open-source AI research.
• Solid background in machine learning and deep learning techniques.
• Proficient in Python and/or C++ development.
• Familiarity with ML frameworks like PyTorch, JAX, or TensorFlow.
• Intellectual curiosity and pragmatic problem-solving skills.
• Effective communication and teamwork abilities.

Bonus Skills

• Experience with high-performance computing and distributed model training.
• Knowledge of GPU performance optimization (CUDA or ROCm).
• Experience in end-to-end model development.
• Strong opinions on ML research best practices and tooling.