Machine Learning Engineer
Core
Designing and maintaining machine learning infrastructure and research workflows to support high-frequency trading decision-making.
Role type
Senior IC machine learning engineer (trading systems)
Builds
Production ML systems, training/inference infrastructure, and reproducible research codebases
Domain
Financial trading / Machine Learning
Deliverable
production ML models | infrastructure
Required skills
Machine learning ecosystem knowledge, optimization theory, linear algebra, PyTorch, Jax, TensorFlow, ensemble methods, neural networks, random forests, gradient-boosted trees, research codebase management, hardware experimentation
Preferred skills
Academic paper analysis, source code reading, novel approach invention
Technologies
PyTorch, Jax, TensorFlow
Responsibilities
Build and maintain training and inference infrastructure, enhance research workflows to tighten feedback cycles, apply appropriate modeling techniques to trading problems, wrangle ML frameworks, create organized and reproducible research codebases
Seniority
Senior, hands-on IC