Machine Learning Engineer
Point72New York, New York, United States
Posted September 15, 2025
Full Time
About the Company
Point72 is a leading global alternative investment firm founded by Steven A. Cohen, renowned for its over three decades of investing experience. The company specializes in delivering superior returns through a blend of fundamental and systematic investing strategies across various asset classes and geographies. Point72 distinguishes itself by fostering an investor-led culture that prioritizes the long-term growth of its talented team.
Job Description
Cubist Systematic Strategies is seeking a Machine Learning Engineer to join their High Frequency Trading Technology team. This role focuses on applying AI technologies to streamline operations, build AI agents for production monitoring and research, and explore synthetic data. The engineer will work alongside the AI research group on various projects, translating mathematical models into code.
Requirements
- PhD or PhD candidate in machine learning, computer science or other AI related research fields
- Experience with sequential modeling and time series forecasting using deep learning
- Experience with deep neural networks and representation learning
- Prior experience working in a data driven research environment
- Experience with translating mathematical models and algorithms into code
- Proficiency in programming languages such as Python and R
- Experience with machine learning software libraries such as TensorFlow or PyTorch
- Experience with natural language processing technology is strongly preferred
- Excellent analytical skills, with strong attention to detail
- Collaborative mindset with strong independent research ability
- Strong written and verbal communication skills
- Commitment to the highest ethical standards
