Campus ML Research Engineer (Full-Time)
Core
Build state-of-the-art ML systems for quantitative finance, optimizing training pipelines and integrating low-latency inference models into production.
Role type
Senior IC machine-learning engineer (quantitative finance)
Builds
Production ML systems, flexible frameworks for financial ML, and low-latency inference pipelines
Domain
Quantitative finance, high-performance computing
Deliverable
production ML models
Required skills
Python, C++, PyTorch/JAX/TensorFlow, GPU/Accelerator programming (CUDA/Triton/SYCL/ROCm), large-scale ML system design, HPC optimization
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 reusable frameworks for financial ML; optimize training pipelines for HPC; integrate ML models into production systems; build large-scale observable and performant ML systems
Seniority
Senior, hands-on IC