Detecting harmful or prohibited content at scale.
The book advocates for a structured flow to ensure all critical architectural components are covered during a 45–60 minute interview: Clarify Requirements
Aminian developed a structured, repeatable framework to help engineers navigate these open-ended conversations. His approach (often referred to as the "ML System Design Interview Framework") focuses on: : Defining business goals and metrics.
Selecting appropriate algorithms (e.g., Deep Learning vs. Tree-based models).
Detecting harmful or prohibited content at scale.
The book advocates for a structured flow to ensure all critical architectural components are covered during a 45–60 minute interview: Clarify Requirements Detecting harmful or prohibited content at scale
Aminian developed a structured, repeatable framework to help engineers navigate these open-ended conversations. His approach (often referred to as the "ML System Design Interview Framework") focuses on: : Defining business goals and metrics. Deep Learning vs. Tree-based models).
Selecting appropriate algorithms (e.g., Deep Learning vs. Tree-based models). Detecting harmful or prohibited content at scale