Machine Learning Center of Excellence Summer Associate, Time Series and Reinforcement Learning

What you'll do

• Research and explore new machine learning methods through independent study and experimentation.
• Develop state-of-the-art machine learning models to solve real-world business problems.
• Apply advanced machine learning techniques to the firm's unique data assets.
• Design experiments and training frameworks to evaluate model performance against business goals.
• Build and implement machine learning solutions for product development and risk management.
• Collaborate with cross-functional teams to deploy machine learning solutions into production.
• Communicate technical concepts and results to both technical and business audiences.

What we're looking for

• Enrolled in a PhD or MS program in a quantitative field with an expected graduation date between December 2027 and August 2028.
• Solid programming skills in C/C++, Python, JAVA, or other equivalent languages.
• Deep knowledge in Machine Learning, Data Mining, Applied Mathematics, Optimization, and Statistics.
• Knowledge of machine learning and deep learning toolkits like TensorFlow, PyTorch, or JAX and ETL pipelines.
• Ability to design experiments, training frameworks, and evaluate model performance metrics aligned with business goals.
• Solid written and spoken communication skills to convey technical concepts to technical and business audiences.
• Ability to work both independently and in highly collaborative team environments.
• Interest in quantitative finance or portfolio management (preferred); knowledge of CPU/GPU architecture and distributed systems (preferred).