Learning objectives
- • Clarify product requirements, data availability, and evaluation metrics
- • Break the system into training, inference, feedback, and monitoring layers
- • Surface the main trade-offs before diving into component details
System Design
ML System Design Framework
Use a repeatable framework to drive an ambiguous ML system design interview from start to finish.
Recommended on day 5885 minutesIntermediate
Interview prompts
- • How do you scope a recommendation system interview in the first five minutes?
- • What metrics belong at the product level versus the model level?
Prerequisites