Machine learning knowledge and code. - LeetCode (medium, hard with Python) - AUC definition - Methods for dealing with long-tailed data - Causal inference - Machine learning questions - Deep learning methods such as attention mechanisms
Intermediate difficulty, catching rainwater. The interviewer is helpful and engaging the whole time. Ask for a resume deep dive and one LeetCode-style question. For the Q&A session, I asked what the role will be like and what tech stack is required.
1st round: LeetCode + ML system design (oral) 2nd round: Resume walk-through + ML system design (NLP) (coding) HM round: Resume walk-through + introduce the team. HR round: Talk about the offer.
Machine learning knowledge and code. - LeetCode (medium, hard with Python) - AUC definition - Methods for dealing with long-tailed data - Causal inference - Machine learning questions - Deep learning methods such as attention mechanisms
Intermediate difficulty, catching rainwater. The interviewer is helpful and engaging the whole time. Ask for a resume deep dive and one LeetCode-style question. For the Q&A session, I asked what the role will be like and what tech stack is required.
1st round: LeetCode + ML system design (oral) 2nd round: Resume walk-through + ML system design (NLP) (coding) HM round: Resume walk-through + introduce the team. HR round: Talk about the offer.