Campus AI/ML Researcher (Fall 2026)

Implement open-ended machine-learning research projects from concept to production, continuously improve model design, tools, and infrastructure, and apply machine learning, statistics, programming, and market intuition to quantitative research and monetization problems.

Responsibilities

• Implement machine-learning research projects from concept to production
• Continuously improve model design, tools, and infrastructure
• Develop research for quantitative research and monetization processes

Requirements

• Machine learning and statistics
• Publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent
• Open-source AI research contributions
• Familiarity with PyTorch, TensorFlow, or JAX
• Proficiency in Python or C++
• Quantitative problem-solving ability
• Effective communication with trading researchers
• Deep learning and language-model architectures, including transformers or SSMs
• Reliable and predictable availability