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Interview questions by company and topic | SysRound

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60 questions

Showing 51–60

Machine learningEasy
Implement Masked Multi-Head Self-Attention
Companies: Apple
ML Coding · Transformers & Attention
Open workspace
Machine learningMedium
Implement MSE Loss and Linear Regression from Scratch
Companies: Indeed
ML Coding · ML Fundamentals
Open workspace
Machine learningMedium
Implement Multi-Head Attention from Scratch
Companies: ByteDance
ML Coding · Transformers & Attention
Open workspace

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Machine learningMedium

Implement Multi-Head Attention from Tensor Operations

Companies: ByteDance

ML Coding · Transformers & Attention

Machine learningMedium

Implement Multi-Head Self-Attention

Companies: Uber

ML Coding · Transformers & Attention

Machine learningMedium

Implement Softmax Cross-Entropy Forward and Backward Passes and a Training Loop

Companies: Waymo

ML Coding · Neural Networks & Training

Machine learningMedium

Implement Stable Sigmoid, Softmax, and Scaled Dot-Product Attention

Companies: Amazon

ML Coding · Transformers & Attention

Machine learningMedium

Optimize Nearest-Center Assignment Without Materializing NxKxD Distances

Companies: Mistral AI

Memory Management · ML Coding

Machine learningMedium

Review a Compact GPT-Style Transformer Implementation

Companies: Mercor

ML Coding · Transformers & Attention

Machine learningHard

Self-Attention: Implementation, Complexity, and Efficient Variants

Companies: Meta

ML Coding · Transformers & Attention