A company is looking for a Multimodal AI Model Optimization Research Engineer.Key ResponsibilitiesOptimize cutting-edge research models for efficiency and production readiness through techniques like sparsification, distillation, and quantizationManage the optimization lifecycle for key models, defining metrics, running experiments, and benchmarking trade-offsCollaborate with researchers and engineers to transform new ideas into deployable systemsRequired QualificationsStrong experience in deep learning using PyTorchHands-on experience with model optimization and compression techniquesUnderstanding of efficient architectures and inference performance fundamentalsStrong Python coding skills and reliable research engineering practicesExperience working with large models and datasets in cloud environments