Machine Learning Research Internship - PhD: 2027
Core
10-week immersive research internship for PhD candidates to solve high-impact problems at the intersection of data, algorithms, and markets using machine learning.
Role type
Machine Learning Research Intern (PhD candidate)
Builds
Production ML models and research outputs for quantitative trading and finance
Domain
Quantitative finance and algorithmic trading
Deliverable
production ML models
Required skills
Machine learning techniques, PyTorch, TensorFlow, experimental design, statistical analysis, publication record in top-tier conferences
Preferred skills
Experience applying ML in professional/academic settings, interest in alpha generation and signal processing
Technologies
PyTorch, TensorFlow, high-end GPU clusters
Responsibilities
Conduct research and develop ML models to identify patterns in noisy, non-stationary data; Work side-by-side with the ML team on real problems in quantitative trading; Collaborate with researchers, developers, and traders to improve models; Design and run experiments using latest ML tools; Apply rigorous scientific methods to extract signals from complex datasets