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"To get a job in machine learning, you must have the programming and mathematical knowledge to create artificial intelligence that is capable of learning new tasks without being explicitly coded. In an interview you may be asked about your experience with pertinent coding languages such as Java and C++ as well as with writing algorithms. The interview will be comprised mainly of technical questions that test your knowledge of the fundamental concepts of machine learning such as data mining and signal processing."

8,221 machine learning interview questions shared by candidates

I interviewed with PayPal Bengaluru. First two rounds cover SQL (intermediate), Python (basic DSA) and Machine Learning concepts in breadth. Third round covers Machine Learning concepts in-depth and you can expect questions about loss functions, models, algorithms and neural networks. Fourth round is generally a business case study round of DS problems at PayPal.
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Machine Learning Engineer

Interviewed at PayPal

3.6★
Sep 5, 2024

I interviewed with PayPal Bengaluru. First two rounds cover SQL (intermediate), Python (basic DSA) and Machine Learning concepts in breadth. Third round covers Machine Learning concepts in-depth and you can expect questions about loss functions, models, algorithms and neural networks. Fourth round is generally a business case study round of DS problems at PayPal.

Apart from the rounds with the hiring manager and HR, all the rounds were focused on data structure and algorithm problems from Leetcode (Medium and Hard). If someone is prepared thoroughly, he should be able to answer most of the questions. The other type of questions were on machine learning fundamentals, models, and open-ended questions of machine learning system design. The manager and HR did ask behavioral questions related to team work, working in agile methodology and also how to tackle difficult challenges.
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Machine Learning Engineer

Interviewed at Bloomberg

4★
Oct 7, 2017

Apart from the rounds with the hiring manager and HR, all the rounds were focused on data structure and algorithm problems from Leetcode (Medium and Hard). If someone is prepared thoroughly, he should be able to answer most of the questions. The other type of questions were on machine learning fundamentals, models, and open-ended questions of machine learning system design. The manager and HR did ask behavioral questions related to team work, working in agile methodology and also how to tackle difficult challenges.

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