Design a batched inference API

Quick Overview

This question evaluates competency in designing scalable, low-latency ML inference systems with dynamic batching, covering system architecture, request batching and scheduling, model routing/versioning, and operational concerns such as autoscaling, reliability, timeouts, and observability.

Design a batched inference API

Company: Anthropic

Role: Software Engineer

Category: ML System Design

Difficulty: hard

Interview Round: Onsite

Overview: This question evaluates competency in designing scalable, low-latency ML inference systems with dynamic batching, covering system architecture, request batching and scheduling, model routing/versioning, and operational concerns such as autoscaling, reliability, timeouts, and observability.

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Anthropic
Feb 8, 2026
hardSoftware EngineerOnsiteML System Design
11
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