Implement k-means, how would you make it scale to a large datasets. How would you test it (unit tests) ?
Applied Machine Learning Engineer Interview Questions
66 applied machine learning engineer interview questions shared by candidates
Describe to me what up-sampling is in a convolutional neural network.
Enhance battleship. A semi-complete project is given and you must complete it. You should be familiar with Javascript and popular frameworks. Also, there is some (minor) SQL.
ML product architecture: How would you implement a computer vision ML product?
Engineering + ML systems experience questions.
Asked: "Can you please describe a subject or concept you've recently explored in one of your courses? What aspects of it have you found particularly engaging or challenging? " "Talk to us about a time when you had a busy schedule with competing obligations. How did you stay organized with your tasks and prioritize your workload." "We've taken a look at your resume, but we’d love to hear it in your own words. Please walk us through your background—your experiences, the skills you're proud of, and how you have gotten involved on campus and in your community." "Why SAS why this internship" Final round asked: "Tell us about your favorite project, feel free to nerd out about it" "What technologies are you excited to learn at this internship" "Tell us about a time when you had discourse between people around you and you stepped in to stop in" "What recent papers/research in the field are you most excited about"
Coding challenge and behavioral questions
On which Facebook project(s) that I would be more interested to work on?
Explain one of your MLOps projects. How have you improved the performance.
My experience in Computer Vision experience
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