Tech Stack

Description

You will apply the latest AI technologies to solve real-world problems in high-frequency trading, including creating a production support AI agent and collaborating with the AI research group on synthetic data generation and workflow streamlining.

Requirements

• PhD in machine learning, computer science, or AI related field
• Experience with sequential modeling and time series forecasting using deep learning
• Experience with deep neural networks and representation learning
• Proficiency in Python and R
• Experience with TensorFlow or PyTorch

Responsibilities

• Apply AI technologies to solve real-world problems
• Create production support AI agent
• Work on synthetic data generation
• Use MCP agents to streamline research workflow