Quantitative Deep Learning Engineer
Join our research team to design and train deep learning models that drive systematic trading — signal discovery, sequence modeling of market data, and large-scale training pipelines. You will own research problems end to end, from hypothesis through rigorous validation to live deployment.
Requirements
- PhD in Computer Science or a closely related field
- Publications at top-tier ML conferences (NeurIPS, ICML, ICLR, and similar)
- Strong deep learning experience (PyTorch / JAX), sequence & representation models
- Solid software engineering in Python; experience with large-scale training