Machine Learning Research Internship - PhD: 2027
Core
Conduct research and develop ML models to identify patterns in noisy, non-stationary data for quantitative trading and finance.
Role type
PhD-level machine learning research intern
Builds
predictive models and trading strategies for a quantitative trading firm
Domain
Quantitative finance and machine learning
Deliverable
production ML models
Required skills
machine learning frameworks (PyTorch, TensorFlow), statistical analysis, experimental design, algorithmic trading knowledge
Preferred skills
publication record in top-tier conferences (NeurIPS, ICML, ICLR), experience with non-stationary data
Technologies
PyTorch, TensorFlow
Responsibilities
Design and run experiments using latest ML tools, collaborate with researchers and traders to improve models, apply scientific methods to extract signals from complex datasets, participate in education program on ML and trading practices
Seniority
PhD candidate (intern)