The Neural Network Optimization Engineer will enhance neural network performance, latency, and throughput, optimizing inference workflows using advanced techniques and collaborating with ML researchers.

The ML Data Engineer will design and manage data pipelines for large-scale unstructured data, primarily images, ensuring efficient ingestion and preprocessing while collaborating with ML engineers for model training.

The role involves developing and optimizing AI models, conducting research, and innovating new features for generative AI tools, enhancing creative user experiences.