RBC Machine Learning Research Engineer interview questions

Round 1 Coding (evaluation of coding skills) 60 mins Ability to write clean, efficient, and correct code. Round 2 System Design (Engineering): Ability to design robust, scalable, and efficient machine learning systems. ML Interview (Problem Solving): Focus on how you approach open-ended ML problems. ML interview - (ML knowledge): Assess depth and breadth of knowledge in core ML concepts. Round 3: Hiring Committee