Machine Learning Engineer – High-Frequency Trading | New York

A leading systematic trading team is seeking a Machine Learning Engineer to develop and deploy advanced AI solutions across high-frequency trading systems and research workflows.

Role Highlights

• Build AI-driven tools, including a production-support agent to monitor system issues and recommend actions
• Collaborate with AI researchers on projects such as synthetic data generation and MCP agent development
• Translate complex mathematical models into clean, scalable code
• Apply state-of-the-art deep learning to real-world trading and research problems

Requirements

• PhD or PhD candidate in ML, CS, or related AI discipline
• Strong experience with sequential models and time-series forecasting
• Expertise in deep neural networks and representation learning
• Proficiency in Python, R, and frameworks like TensorFlow or PyTorch
• Preferred: experience with agent-based systems, context engineering, or NLP
• Detail-oriented, collaborative, and strong communication skills
• Experience in data-driven research environments

If this role is well matched to your experience and you would be interested in the role, then please make sure to reach out.