Netflix Machine Learning Engineer Interview Questions

Malay K. - "For any project based questions, it is important to structure your response clearly, showcasing your thought process, technical skills, problem-solving abilities, and how your work added value. Besides the STAR method, you can also use this kind of framework: 1. Start by selecting a relevant project (related to the role) Give the project background and what specific problem it solved. 2. Align the project's objective and your role Be specific about your role: were you the le"See full answer

Ben G. - "Situation - A time I dealt with conflict while on a team was while I was working at Shopify on physical and digital gift card refund point of sale solutions. The situation was that we were dealing with complex technical constraints including not changing particular UI components behavior to act as they should be intended. On the refund screen, the existing design was using a toggle on the same screen to bring up a modal for gift card selection to either select digital or physical options. Thi"See full answer

Jeff S. - " function isValid(s) { const openBrackets = new Set(['(','{','[']); const closeBrackets = new Map([ [')', '('], ['}', '{'], [']', '['] ]); const stack = []; for (let i = 0; i < s.length; i++) { if (openBrackets.has(s[i])) { stack.push(s[i]); } else { if (closeBrackets.get(s[i]) !== stack.pop()) { return false; } } } return stack.length === 0; } // deb"See full answer

Laksitha R. - "public static int maxProfitGreedy(int[] stockPrices) { int maxProfit = 0; for(int i = 1; i todayPrice) { maxProfit += tomorrowPrice - todayPrice; } } return maxProfit; } "See full answer

Satyam C. - "TF-IDF CONCEPT EXPLANATION AND INTUITION BUILDING: TF-IDF is a measure that reflects the importance of a word in the document relative to a collection of documents. Its full form is Term Frequency - Inverse Document Frequency. The term TF indicates how often a term occurs in a particular document. It is the ratio of count of a particular term in a document to the number of terms in that particular document. So, the intuition is that if a term occurs frequently in a single documen"See full answer

Xuelong A. - "I've participated in several competitions in Kaggle concerning medical images. My most recent competition deals with images of skin lesions and classifying them as either melanoma or not. I focused on fine-tuning pretrained models and ensembling them. I also like to keep track of the latest trends of computer vision research, with a focus on making models memory-efficient through model compression and interpretability."See full answer