Campus AI Research Engineer (Intern)
Core
Build state-of-the-art ML systems to solve complex problems in quantitative finance by optimizing training pipelines and integrating models into low-latency production systems.
Role type
Campus AI Research Engineer (Intern)
Builds
Production ML systems for quantitative finance
Domain
Quantitative finance / High-performance computing
Deliverable
production ML models
Required skills
Python, C++, PyTorch, JAX, TensorFlow, GPU programming (CUDA, Triton, SYCL, ROCm), large-scale AI/ML system design
Preferred skills
Experience with hundreds of TBs of training data, low-latency inference requirements
Technologies
C, C++, Python, CUDA, Triton, SYCL, ROCm, PyTorch, JAX, TensorFlow
Responsibilities
Apply state-of-the-art techniques to complex domains, build flexible and reusable frameworks for financial AI/ML, optimize training pipelines for HPC resources, integrate AI/ML models into production systems, build large-scale AI/ML systems that are observable and performant
Seniority
Intern