Graphcore Research Scientist Interview Questions
The questions to prepare for a Graphcore Research Scientist interview. Questions from real interview reports rank first. Updated daily.
Generate a concise Big O explanation from an algorithm's time and auxiliary-space complexities.
Implement element-wise tensor addition and multiplication with NumPy-style broadcasting using nested Python lists.
Implement numerically stable attention with causal masking, optional masks, and temperature scaling.
Reproduce a selected ML paper's methodology, evaluate its evidence, and explain implications for reliability and generalization.
Optimize self-attention for Graphcore IPU memory, compute, and communication constraints while preserving model quality.
Design a controlled benchmark to compare Adam with alternative optimizers for deep learning training.
Compare Adam with SGD, RMSprop, and AdamW using controlled training experiments and convergence, accuracy, stability, and efficiency metrics.
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Determine which candidate vector satisfies the null-space condition for a given matrix using matrix-vector multiplication.