Machine Learning Engineer

The Machine Learning Engineer role on Point72’s High Frequency Trading Technology team focuses on applying AI to practical challenges while supporting both production operations and research workflows. The position includes building AI tools for monitoring and operational decision support, alongside collaboration with the AI research group.

Location

New York, NY (onsite)

Compensation

USD 150,000 - 200,000 per year

Education

• PhD or PhD candidate in machine learning, computer science or other AI related research fields

Responsibilities

• Apply the latest AI technologies to address real-world problems and streamline day-to-day operations
• Create a production support AI agent to help monitor production problems and suggest actions
• Partner with the AI research group on projects including synthetic data generation for training
• Use MCP agents to streamline research workflow

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 translating mathematical models and algorithms into code
• Proficiency in programming languages such as Python and R
• Experience with machine learning libraries such as TensorFlow or PyTorch
• Experience implementing Agent or Context engineering is strongly preferred
• 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

Technologies

• Python
• R
• TensorFlow
• PyTorch

Application Checklist

• Résumé