Typical Meta coding interview, with problems involving data structures and algorithms. I had to solve 2 problems in 40 minutes without compiling/running the code.
Senior Machine Learning Engineer Interview Questions
621 senior machine learning engineer interview questions shared by candidates
ML model design was about how to extract text from images. Specifically semi-structured text like street signs or licenseplates from random photos.
Round 1 coding interview: 2 leetcode easy
Coding questions were medium leetcode questions and can be done with some prep. system design and ml system wasn't too hard. I couldn't do senior level on ml system design. it's more complicated than educative examples.
Coding Round - Count Possible Decoding of a given Digit Sequence
Explain each and every small detail about project
Things like "describe self-attention mechanism", "how do RNNs differ vs. transformers", "how do you use propensity scores in AB tests"
5 DS questions spread over 2 phone rounds ML questions - Precision, Recall, Clustering algorithms Resume Assignment focused on finding document similarity
Technical phone screen with recruiter involved my civil engineering background in tandem with Data Science
They asked me to explain a complex ML project in simple language, including the problem, the approach, and the business impact. I answered by walking through a project where I built a predictive model from raw data, explained why I chose a certain algorithm, described how I handled model performance issues, and shared the final results and impact.
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