Machine Learning Engineer

Overview

Machine Learning Engineer for the High Frequency Trading Technology team, applying AI to operational and research problems.

What you'll do

• Create a production support AI agent to monitor production problems and suggest actions.
• Work with an AI research group on projects to create synthetic data for training.
• Use MCP agents to streamline research workflow.
• Apply AI technologies to solve real-world problems and streamline day-to-day operations.

What you'll need

• Have a PhD or be a PhD candidate in machine learning, computer science, or other AI research fields.
• Experience with sequential modeling and deep learning for time series forecasting.
• Experience with deep neural networks and representation learning.
• Prior experience in a data-driven research environment.
• Ability to translate mathematical models and algorithms into code.
• Proficiency in Python and R.
• Experience with TensorFlow or PyTorch.

Nice to have

• Experience implementing Agent or Context engineering (strongly preferred).
• Experience with natural language processing technology (strongly preferred).