1st round: Assessment - Easy Data Structure Questions 2nd round: ML Depth - Very detailed, asked about transformers at a root level, Optimization questions on TensorFlowRT, T5 models 3rd round: ML Breadth - Basic ML questions like overfitting/underfitting.

Two back to back interviews focussed on breadth followed by depth covering pretty much the entire landscape of machine learning. They also have a lot of Leadership principles questions embedded into the interview. The challenging part is the breadth expectation.