Campus AI Research Engineer – Deep Learning (Full-Time)
Core
Research scientist applying state-of-the-art machine learning and deep learning to complex quantitative domains, building flexible frameworks and integrating models into low-latency production trading systems.
Role type
Senior IC research scientist (deep learning/ML)
Builds
Production ML systems and reusable frameworks for financial trading
Domain
Quantitative finance / High-frequency trading
Deliverable
production ML models
Required skills
Modern deep learning techniques, language modeling architectures (transformers, SSMs), Python, C++, PyTorch, JAX, TensorFlow, HPC training, GPU performance optimization
Preferred skills
End-to-end model development, strong opinions on ML tooling and infrastructure
Technologies
PyTorch, JAX, TensorFlow, CUDA, ROCm
Responsibilities
Apply state-of-the-art techniques to complex domains; build flexible and reusable frameworks for financial ML; optimize training pipelines for HPC resources; integrate ML models into production systems where latency matters; build large-scale ML systems that are observable, performant, and flexible
Seniority
Senior, hands-on IC