Johnson & Johnson Machine Learning Engineer interview questions
based on 1 rating - Updated 29 Jun 2025
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Machine Learning Engineer applicants have rated the interview process at Johnson & Johnson with 2 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 77.7% positive. This is according to Glassdoor user ratings.
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The interview process was smooth and well-structured. It started with a short screening call where they asked about my background and projects. The main technical round focused on core ML and deep learning concepts, along with a few scenario-based questions to assess problem-solving. They also discussed my previous work in detail, especially any hands-on experience I had with models and data preprocessing. The interviewer was friendly and asked thoughtful follow-up questions. Overall, it was a balanced process that tested both theoretical knowledge and practical application.
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