Leetcode medium type question Some questions about leadership and initiative
Senior Machine Learning Engineer Interview Questions
620 senior machine learning engineer interview questions shared by candidates
It was asked a vague question, It was the input of an ML model but they wanted me to treat it as a string. Basicly Read a string and put it in the hashmap.
How to detect power plant on/off via satellite images.
What role does the test set play and what role does the validation set play when we are building a model?
Compute the intersection over union, given 2 rectangles. For Each rectangle input representation would be topleft vertex and bottom right vertex.
Questions ranged from - How to scope project requirements and communicate with stakeholders? - Describing key milestones for a project with an ML component. - Going over the 3D / Computer Vision tech stack from low-level OpenCL/Metal/CUDA/Shaders, to Python-based ML workflow, up to C# App Development.
Introduction, then ask leet code, then another round asks another leet code and also a network design question, which I still don't know, let alone the answer. Next round, ask leet code again and behavioural questions about which one interviewer was a really bad person.
L1 Round: The interview began with questions about my recent projects, followed by foundational machine learning topics like supervised vs. unsupervised learning, structured vs. unstructured data, data preprocessing, EDA, and data visualization techniques. I was asked about box plots, including Q1 vs. Q3 formulas and whiskers. They included 3–4 simple riddle questions and ended with an easy Python coding task to print a right-aligned triangle pattern: * ** *** L2 Round: This round focused on deeper discussions about recent projects, LLMs, and Generative AI use cases. One scenario-based question involved integrating AI into a healthcare website to flag incorrect prescriptions via UI warnings. Other questions covered APIs, securing localhost environments before deployment, writing and giving examples of test cases, and long-term career goals. Finally, they revisited salary expectations.
What is latent space/bottleneck in autoencoders and what is its purpose?
Why we use odd kernel size in conv layer?
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