What are the responsibilities and job description for the Machine Learning Engineer – High-Frequency Trading | New York position at AAA Global?
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.
Salary : $200,000 - $600,000