\nTechnical ML Coding (60 min)\nThis 60 minute interview will be a machine learning, debugging exercise. You'll be given a short implementation of a ML model (using Python and PyTorch) and be tasked to find and fix all bugs in order for the model to work successfully.\n\nThis exercise tests your knowledge of ML architectures and algorithms, your ability to trace bugs back to their source, and your level of attention to detail. Familiarity with the Transformer model would be helpful.\n2024\nTechnical ML Coding (60 min)\nThis 60 minute interview will be a machine learning, debugging exercise. You'll be given a short implementation of a ML model (using Python and PyTorch) and be tasked to find and fix all bugs in order for the model to work successfully.\n\nThis exercise tests your knowledge of ML architectures and algorithms, your ability to trace bugs back to their source, and your level of attention to detail. Familiarity with the Transformer model would be helpful.\n2024\nTechnical ML Coding (60 min)\nThis 60 minute interview will be a machine learning, debugging exercise. You'll be given a short implementation of a ML model (using Python and PyTorch) and be tasked to find and fix all bugs in order for the model to work successfully.\n\nThis exercise tests your knowledge of ML architectures and algorithms, your ability to trace bugs back to their source, and your level of attention to detail. Familiarity with the Transformer model would be helpful.\n2024