Machine Learning Engineer
Core
Design and maintain ML platforms and research workflows for a global trading environment, focusing on decision-making tools and rapid experimentation.
Role type
Senior IC machine learning engineer (trading systems)
Builds
Production ML models and research codebases for trading decision-making
Domain
Finance (quantitative trading) + Machine Learning
Deliverable
production ML models
Required skills
Machine learning ecosystem knowledge, mathematical foundations (optimization, linear algebra), training and inference infrastructure, reproducible research codebases, ML framework expertise (PyTorch, Jax, TensorFlow)
Preferred skills
Experience with neural networks, random forests, gradient-boosted trees, ensemble methods, latest hardware, academic papers
Technologies
PyTorch, Jax, TensorFlow
Responsibilities
Build and maintain training and inference infrastructure; enhance research workflows to tighten feedback cycles; understand mechanics and mathematics behind modeling techniques; wrangle ML frameworks; create organized, reproducible research codebases
Seniority
Senior, hands-on IC