Campus AI/ML Researcher (Fall 2026)
Core
Researching and deploying machine learning models to achieve state-of-the-art capabilities in complex quantitative domains for global financial markets.
Role type
Researcher (Machine Learning)
Builds
Predictive trading models and research outcomes
Domain
Quantitative Finance / Machine Learning
Deliverable
production ML models
Required skills
Machine learning expertise, Python, C++, PyTorch, TensorFlow, JAX, deep learning techniques, language modeling architectures (transformers, SSMs), statistical analysis, data mining
Preferred skills
Strong publication record at top AI conferences (ICML, ICLR, AAAI, NeurIPS, UAI, KDD), open-source AI contributions, market intuition
Responsibilities
Implement open-ended research projects from concept to production, continuously improve model design and infrastructure, reason through quantitative problems, collaborate with trading researchers
Seniority
Junior / Intern (Fall 2026)