Machine Learning Engineer - Quantitative Trading- Leading Market-Maker / Hedge Fund
Core
Building platforms and infrastructure for researchers and traders to develop, train, test, and deploy ML models efficiently in quantitative trading.
Role type
Machine Learning Engineer (Infrastructure & Platform)
Builds
Training and inference infrastructure, research workflows, APIs, and tooling for ML model deployment.
Domain
Quantitative Trading / Financial Markets
Deliverable
production ML models
Required skills
Software engineering, Machine Learning, Mathematics, PyTorch, JAX, TensorFlow, Large-scale data processing
Preferred skills
Trading experience
Technologies
PyTorch, JAX, TensorFlow
Responsibilities
Build training and inference infrastructure, improve research and experimentation workflows, build intuitive APIs and tooling, evaluate new ML approaches, help move models from research into production.
Seniority
All experience levels