Machine Learning Engineer

Point72 is hiring a Machine Learning Engineer to join the High Frequency Trading Technology team in New York, NY (onsite). This role applies current AI techniques to practical, real-world challenges while supporting both production operations and AI research workflows. If you enjoy pairing rigorous research with production impact, this position sits at the intersection of modeling, engineering, and operational reliability.

Compensation: USD 150,000 - 200,000 per yearly.

Responsibilities

• Apply the latest AI technologies to solve real-world problems and streamline day-to-day operations.
• Build a production support AI agent to help monitor production problems and suggest actions.
• Collaborate with the AI research group on initiatives such as creating synthetic data for training.
• Use MCP agents to streamline the 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.
• Programming proficiency in 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 and 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