Machine Learning Performance Engineer - Quant Research & Trading

We're looking for ML Performance Engineers to join a scientific led systematic trading firm to design, optimize, and deploy large-scale machine learning systems that directly impact trading performance. You'll optimize large-scale deep learning and LLM pipelines, turning cutting-edge research into measurable P&L impact. Build and optimize large-scale ML training & inference pipelines Enhance deep learning frameworks (PyTorch, JAX, TensorFlow) for performance Debug GPU, memory, and distributed training bottlenecks Collaborate with researchers to deploy models in live trading systems

Strong ML fundamentals (transformers, LLMs, attention, RLHF) Proficiency in Python & C++ Knowledge of deep-learning frameworks like PyTorch, JAX