An AI Research Scientist focuses on advancing the field of artificial intelligence through novel algorithm development, conducting experiments, and publishing research. They often work in academic or research institutions, pushing the boundaries of AI knowledge. In contrast, a Machine Learning Engineer applies existing machine learning algorithms and models to practical problems. They focus on data preprocessing, model training, deployment, and ensuring models operate effectively in real-world scenarios. While research scientists drive innovation, machine learning engineers implement and scale these innovations.