Company Focus

Google Interview Problems (173)

Problems reported from Google data science interviews

Status	Title	Difficulty	Language	Company	Topic
	KV Cache in Autoregressive Generation Pro	Hard	Conceptual	NVIDIA Google Microsoft	llms
	Machine Translation Challenges Pro	Hard	Conceptual	Google ByteDance Meta	nlp
	Merge K Sorted Lists Pro	Hard	Python	Google Amazon Uber	sorting
	Mixture of Experts Architecture Pro	Hard	Conceptual	Google DeepMind Meta	llms
	Model Serving: TorchServe and TF Serving Pro	Hard	Conceptual	Amazon Google Microsoft	deep-learning-libraries
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	Naive Bayes Independence Assumption Pro	Hard	Conceptual	Google Meta Twitter/X	machine-learning
	Neural Network Forward Pass Pro	Hard	Python	Google NVIDIA DeepMind	machine-learning
	Percentile Rank of Order Values Pro	Hard	SQL	Stripe Google Meta	window-functions
	P vs NP Problem Pro	Hard	Conceptual	Google Microsoft	computer-science
	Recursive CTE for Number Sequence Pro	Hard	SQL	Databricks Google Snowflake	ctes
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	Recursive CTE for Org Hierarchy Depth Pro	Hard	SQL	Snowflake Meta Google	ctes
	Scaling Laws and Chinchilla Pro	Hard	Conceptual	DeepMind Google OpenAI	llms
	Second Highest Salary Per Department Pro	Hard	SQL	Google Meta LinkedIn	subqueries
	Self Join: Employees and Their Managers Pro	Hard	SQL	Google Meta LinkedIn	joins
	Self Join: Employees Earning More Than Their Manager Pro	Hard	SQL	Google Meta Amazon	joins
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	Self Join: Find Pairs of Employees in the Same Department Pro	Hard	SQL	Meta LinkedIn Google	joins
	SentencePiece vs WordPiece Tokenization Pro	Hard	Conceptual	Google Meta Hugging Face	llms
	Speculative Decoding Pro	Hard	Conceptual	Google DeepMind NVIDIA	llms
	Spiral Matrix Traversal Pro	Hard	Python	Google Amazon Microsoft	arrays
	TF-IDF Calculator Pro	Hard	Python	Google Meta NVIDIA	machine-learning
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	The Boy or Girl Conditional Probability Problem Pro	Hard	Conceptual	Two Sigma Google	brainteasers
	Transformer Architecture Deep Dive Pro	Hard	Conceptual	Google DeepMind OpenAI	llms
	Word Sense Disambiguation Pro	Hard	Conceptual	Google Apple	nlp

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