During the live coding interview there were 4 exercises around implementing and training a joint embedding for image-text pairs with given data in PyTorch. You were allowed to use docs and resources like stack overflow (but no AI assistants).
Machine Learning Engineer Interview Questions
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Started of with simple questions such as Assumptions of naive bayes theorem and f1 score. Then asked about PCA, Dimensionality Reduction ,NLP tasks and some things about my projects.
- Transformers about multihead attention - evaluation of ML models and LLMs - more on system design and past projects for ML
What are your past experience. What do you see yourself in 2 years
how would you design the data analysis pipeline?
Natural language processing, basic normalization and vector storage.
How to prevent overfitting issues?
Would you be comfortable working in a smaller team?
Introduce yourself; technical questions about your expertise in the related areas - this was aimed at the parts of the job advert I hadn't mentioned as having expertise in in my CV
Design problem from initial stages to deployment, with very specific solutions & metrics-- no coding involved
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