Production ML Researcher - Deep Learning for Markets

Citadel Securities; Miami (FL); On-site; USD 200,000 - 260,000; Full time

Job summary

Citadel Securities in Miami is seeking an AI research scientist to advance deep learning systems used in production trading environments. You will train, fine-tune, evaluate, and scale models to improve performance, reliability, and inference speed for real-time market use cases.

We value researchers who can own problems end-to-end, reason from first principles, and collaborate with engineers and traders to translate insights into measurable market improvements.

Qualifications

• Strong background in machine learning and statistical modeling.
• Experience turning research into production-grade ML systems.
• Proficiency with Python and ML frameworks (PyTorch, JAX).

Responsibilities

• Train, fine-tune, evaluate, and scale models for production-grade market use cases.
• Identify high-frequency signals and improve model performance, reliability and speed.
• Collaborate with cross-functional teams to translate insights into measurable market improvements.
• Design datasets, training flows, and evaluation frameworks for robust deployment.

Skills

Applied ML reasoning

Training dynamics

Statistics & probabilistic modeling

Tools

Python

PyTorch

JAX

Job description

Citadel Securities in Miami is seeking an AI research scientist to advance deep learning systems used in production trading environments. You will train, fine-tune, evaluate, and scale models to improve performance, reliability, and inference speed for real-time market use cases.

We value researchers who can own problems end-to-end, reason from first principles, and collaborate with engineers and traders to translate insights into measurable market improvements.