Research Engineer, Fundamental AI Research (FAIR) - Generative Models/LLM AccelerationAI

Qualifications: Master's degree or higher in a relevant technical field (e.g., Computer Science, Machine Learning, AI, or related discipline) 6+ years of experience in machine learning, deep learning, or AI research, or equivalent practical experience Experience designing and implementing large-scale model training pipelines using frameworks such as PyTorch or JAX Experience with distributed computing and parallel training techniques including data parallelism, model parallelism, or pipeline parallelism Experience debugging and optimizing AI systems for performance, reliability, and correctness across the full model lifecycle