Deep Learning Researcher

What you'll do

• Research, prototype, evaluate, and improve deep learning models and training methods for market prediction, signal generation, execution, and portfolio construction.
• Support large-scale data curation, representation learning, self-supervised learning, and multimodal learning.
• Collaborate with traders, researchers, and engineers to develop scalable solutions and share relevant research.

What they ask for

• PhD or Master's degree in a quantitative field.
• 3+ years of experience conducting deep learning research and developing large-scale machine learning systems.
• Expertise in modern deep learning architectures and strong understanding of deep learning theory, optimization, statistical learning, and neural network training.
• Strong Python skills; experience with modern deep learning frameworks and scalable ML infrastructure, experimentation, and deployment.

Nice to have

• Experience with large-scale pretraining is highly valued.
• Prior financial industry experience is not required.

Pay

$250,000 — $300,000 USD (base salary)

Tools

Python, PyTorch, JAX, TensorFlow

AI focus

Deep learning research and applications for trading, including large-scale pretraining, predictive modeling, representation learning, transformers, foundation models, generative AI, reinforcement learning, and multimodal learning.