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Interview questions by company and topic | SysRound

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11 questions

Showing 1–11

ML system designHard
Route and Batch Inference with Eight GPUs
Companies: Anthropic
GPU Infrastructure · ML System Design · MLOps & Model Serving
Last reported Sep 2026
Open workspace
System designHard
Design Large Model-Weight Distribution to GPU Workers
Companies: Anthropic
File & Media Storage · MLOps & Model Serving · System Design
Last reported Aug 2026
Open workspace
ML system designMedium
Design a model downloader
Companies: Anthropic
CI/CD & Deployment · ML System Design · MLOps & Model Serving
Last reported Feb 2026
Open workspace

Machine learningMedium

Explain batch inference design

Companies: Anthropic

ETL & Data Pipelines · MLOps & Model Serving

Last reported Feb 2026

ML system designHard

Design a batched inference API

Companies: Anthropic

API Design · MLOps & Model Serving

Last reported Feb 2026

ML system designHard

Design a Production ML Serving System

Companies: Anthropic

ML System Design · MLOps & Model Serving · Model Monitoring & Drift

Last reported Jan 2026

ML system designHard

Design an AWS fine-tuning platform for LLMs

Companies: OpenAI

Fine-Tuning & Alignment Techniques · MLOps & Model Serving

Last reported Dec 2025

ML system designHard

Design a low-latency ML inference API

Companies: Anthropic

ML System Design · MLOps & Model Serving · Reliability & SRE

Last reported Sep 2025

Machine learningEasy

Design multimodal deployment under compute limits

Companies: TikTok

Fine-Tuning & Alignment Techniques · MLOps & Model Serving

Machine learningHard

How to deploy and tune multimodal models?

Companies: ByteDance

Embeddings & Vector Search · MLOps & Model Serving

Machine learningMedium

On-Device vs Server Inference: Choosing Where an App's ML Model Runs at Scale

Companies: Google

MLOps & Model Serving · Technical Tradeoffs for PMs