Weight optimization is the process of adjusting the weights in a model to minimize a loss function, enhancing the model's performance and predictive accuracy. It is crucial in machine learning and neural networks, where efficient and effective weight adjustments can significantly impact the model's ability to generalize from training data to unseen data.