Graduate Deep Learning Researcher - New York

What you'll do

• Build and improve deep learning models for trading across asset classes, with guidance from senior researchers.
• Contribute to research in modern deep learning and support data curation, training infrastructure, and deployment pipelines.
• Track and share relevant developments in deep learning research.

What they ask for

• Degree in a related quantitative field, completed by the stated start date, or current postdoctoral position.
• Demonstrated deep learning research or applied machine learning experience; PhD candidates are expected to have research contributions published at leading ML venues.
• Hands-on experience with modern deep learning architectures and solid understanding of deep learning theory, optimization, statistical learning, and neural network training dynamics.
• Strong Python programming skills, experience with at least one modern deep learning framework, and strong communication skills.

Pay

$300,000 USD base salary

Tools

Python, PyTorch, JAX, TensorFlow, transformers

AI focus

Research and apply deep learning for trading, including representation learning, foundation models, generative AI, reinforcement learning, self-supervised and multimodal learning, and model training and deployment.