Senior Machine Learning Engineer
Core
Partner with PhD researchers to design, implement, and productize machine learning models that drive quantitative trading strategies.
Role type
Senior Machine Learning Engineer (Quantitative Trading)
Builds
Production ML models, data pipelines, and modeling infrastructure for investment management
Domain
Finance / Quantitative Trading / Machine Learning
Deliverable
production ML models
Required skills
Python, mathematical maturity (statistics, linear algebra, optimization, probability), distributed computing, Linux environment, data pipeline development, model evaluation
Preferred skills
R/C++, experiment management, ML workflow orchestration, performance profiling, financial data/time-series analysis
Technologies
NumPy, Pandas, SciPy, scikit-learn, PyTorch, TensorFlow
Responsibilities
Design and implement ML models for quantitative trading; develop and maintain complex data pipelines; translate research prototypes into production code; build extensible tools for model development; remediate data quality issues; lead projects from requirements to delivery; coordinate deployment efforts and guide junior staff
Seniority
Senior, hands-on IC with mentorship responsibilities