Campus AI Research Engineer (Intern)

Apply advanced AI and machine learning techniques to financial problems, collaborate with researchers and quants on reusable frameworks, optimize HPC training pipelines, integrate low-latency models into production systems, and build observable large-scale systems using C, C++, Python, CUDA, and related languages.

Responsibilities

• Apply advanced techniques to complex and challenging domains
• Collaborate with researchers and quants to build reusable financial AI and machine learning frameworks
• Optimize training pipelines for high-performance computing resources
• Integrate AI and machine learning models into latency-sensitive production systems
• Develop large-scale AI and machine learning systems
• Reduce research iteration cycle time

Requirements

• Proficiency in Python and/or C++
• Proficiency in PyTorch, JAX, TensorFlow, or similar frameworks
• GPU or accelerator programming experience with CUDA, Triton, SYCL, ROCm, or equivalent
• Experience building AI and machine learning systems at scale
• Experience with large-scale training data and low-latency or high-throughput inference
• Strong written and verbal communication skills in English
• Reliable and predictable availability