Explain batch inference design
Company: Anthropic
Role: Machine Learning Engineer
Category: Machine Learning
Difficulty: medium
Interview Round: Onsite
Quick Answer: This question evaluates a candidate's competence in designing scalable, reliable batch inference pipelines for machine learning, covering model artifact management, feature and input versioning, job scheduling and parallelization, output delivery, and operational concerns such as retries, idempotency, backfills, and monitoring.