Netflix Interview Questions

Eshaa D. - "Design an accessible alternative to airport lounges. Clarifying questions: Is this global international airports or only US focused? - US to start Goal: To provide travelers a more accessible and comfortable travel experience. Users: Disabled / elderly travelers – need physical accessibility and sensory-friendly environments Families with kids Economy travelers – can’t access lounges but still want rest, Wi-Fi, and clean spaces. Business travelers – want work pods, reliabl"See full answer

Anonymous Lizard - "average percentage WATCH time of the top 5 recommendations given by the engine"See full answer

Howard H. - "We have to work with the c-suite to understood the direct quartly outcomes or goals. This could be our epic and then we try to break that down into business value and complexity . This will allow us to prioritize whats next. From there we can structure a mvp to cover maybe some of these areas to understand the estimation of this work. After the first couple weeks we can structure a roadmap and then define when"See full answer

Nishant S. - "The obvious thing would be explain to them the reason for saying no. But that will not help you in building strong relationships with your stakeholder. First step would be to listen - understand the reason behind their request. Their opinion should be heard. Once you have done that, only then steer the conversation in the direction of logical reasoning for your stance. Also, you could talk to them about some of the competing priorities which would be more impactful, so that they unders"See full answer

Eshaa D. - "Clarifying Question: When you say user growth do you have in mind new user acquisition or also talk about user retention/engagement? Assuming New User acquisition is the main referral goal I will pick this for my answer. Netflix is a subscription-based video-on-demand service, available globally on mobile, web or Living room TV, offering a high-quality viewing experience to satisfy consumers' digital entertainment desires. User groups: I think of Netflix's large user base across three lenses: "See full answer

Chung jin C. - "In my role as VP of operational model transformation was leading the definition of current and to be state of operations for a business representing >50% of the revenue & profits of the company. In a monthly feedback session, my manager shared how he noticed I had not delegated tasks and that I should work with 2 members who had been seconded to the team. We were working on a tight timeline and we wanted to get the targets completed earlier so that we can provide some buffer for further alignm"See full answer

Exponent - "This is a Strategy Question, which asks you to justify high-level business decisions and strategy. This could be confused with an expansion problem, but it's only asking for the risks. You should be thorough with the risks and identify as many as possible. Let's go over one possible solution: > Expanding to China could be a huge opportunity for Netflix, but it's definitely risky. I'd love to go over a few risks that we should consider. To me, the biggest risks are:Censorship > Chinese compet"See full answer

Alex C. - "I would have been destroyed on this."See full answer

Kaleb A. - "Questioning ones own self in the 1st, 2nd person."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