Campus AI Research Engineer – Research Automation (Full-Time)
Core
Build flexible, reusable frameworks for financial machine learning and optimize training pipelines for high-performance trading systems.
Role type
Senior IC research automation engineer (financial ML)
Builds
Production ML systems and research tooling for quantitative trading
Domain
Quantitative finance / High-frequency trading
Deliverable
production ML models
Required skills
state-of-the-art ML techniques, deep learning (transformers, SSMs), Python, C++, PyTorch, JAX, TensorFlow, HPC optimization, GPU programming (CUDA/ROCm)
Preferred skills
HPC and distributed large model training, end-to-end model development, ML infrastructure best practices
Responsibilities
Apply state-of-the-art techniques to complex domains, build flexible frameworks for financial ML, optimize training pipelines for HPC resources, integrate ML models into low-latency production systems, work across C/C++/Python/CUDA, build large-scale observable ML systems
Seniority
Senior, hands-on IC