Multimodal AI Model Optimization Research Engineer

Research Engineer specializing in model optimization for multimodal AI, focusing on making cutting-edge models fast, production-ready, and efficient via sparsification, distillation, quantization, and mixed-precision techniques. Collaborates with researchers and engineers in a startup, hybrid SF/London context, to benchmark latency, cost, and quality while enabling real-time human-AI interaction across industries.