Point72
Machine Learning Engineer
About this role
Cubist Systematic Strategies is seeking a Machine Learning Engineer to enhance their High Frequency Trading Technology team. The role focuses on applying AI innovations to resolve operational challenges and collaborating with the AI research team on various projects.
What you'll do
- Develop AI-driven solutions for operational efficiency
- Create a production support AI agent for problem monitoring
- Collaborate with the AI research group on synthetic data projects
- Streamline research workflows using MCP agents
- Work on various machine learning projects
What they're looking for
- PhD or PhD candidate in machine learning or AI
- Deep learning for time series forecasting
- Experience with deep neural networks
- Programming in Python and R
- Familiarity with TensorFlow or PyTorch
- Experience in data-driven research
- Strong analytical and communication skills
- Collaborative and independent research abilities
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Point72
Point72 operates trading, data infrastructure, and investment management technology platforms that power systematic portfolio management and capital markets operations. The company is hiring infrastructure engineers, data reliability specialists, and software engineers to build and maintain mission-critical systems including data pipelines, network architectures, storage platforms, and research tools.
- Website
- point72.com
Likely interview questions
- Can you walk us through a time series forecasting or sequential modeling project you've worked on? What deep learning architecture did you choose and why?
- Describe your experience translating mathematical models or research papers into production code. What challenges did you encounter?