nothing really unexpected. it was a pretty reasonable eng interview.
Machine Learning Engineer Interviews
Machine Learning Engineer Interview Questions
Companies rely on machine learning engineers to help design and improve the systems that allow their software to improve on its own, rather than being specifically programmed. During the interview process, be prepared to be tested heavily on both computer science and data science knowledge with an emphasis on recognizing patterns and trends. A bachelor's degree in computer science or a related field will be required.
Top Machine Learning Engineer Interview Questions & How to Answer
Question 1
Question #1: What are the most important algorithms, programming terms, and theories to understand as a machine learning engineer?
How to answer
How to answer: Be prepared to talk about things like Type I and Type II errors, supervised and unsupervised machine learning, ROC curves, and other key parts of machine learning. Employers want to know you have a strong knowledge of the technical aspects of the job position.
Question 2
Question #2: How would you explain machine learning to someone who doesn't understand it?
How to answer
How to answer: Sometimes machine learning engineers have to work with people who aren't familiar with the technical aspects of the job. Use this interview question as an opportunity to show your strong knowledge of the position and your communication abilities.
Question 3
Question #3: How do you stay up to date with the latest news and trends in machine learning?
How to answer
How to answer: By talking about how you're up to date with the latest news and trends in machine learning, you can show an employer that you're engaged in the industry, a skilled researcher, and self-motivated.
8,195 machine learning engineer interview questions shared by candidates
How much experience you have? What is your experience in?
General ML and NLP General RAG questions
En la prueba técnica del cliente te piden desarrollar un API que consuma un modelo de ML. Es obligatorio entregar: - Continuous Integration y Continuous Deliver - Testing - Endpoints en FastAPI - Despliegue en Google Cloud Entregan muy poco código hecho y un CSV. Además, piden implementar todo el ciclo de vida de un modelo de ML en 5 días
If you have billion records and you can access them only one at a time, how do you get 100 records randomly ?
A coding problem
Conocer acerca de mi career path, personalidad y métodos de resolución de problemas.
Coding question: given a list of student IDs and courses they are enrolled in, find the courses each pair of students are enrolled in.
Random Walk Distances On Graphs Given a graph and any pair of vertices i and j, it is possible to take a random walk starting from i and eventually arrive at j, if i is connected to j. Specifically, starting at i, each time we choose an edge to traverse randomly according to some probability distribution P, and repeat until we arrive at j for the first time. The number of edges traversed is a random variable with some expected value, which is the expected random walk distance from i to j. By this definition, the expected random walk distance from a vertex to itself is always 0. Furthermore, multiple traversals of an edge are also counted in the random walk distance. Your task is to write a program to estimate the expected random walk distance between all pairs of vertices in a given graph.
Both techical screening and algorithms interview were Leetcode-style questions. I never saw exactly same problems on Leetcode, but very similar (Medium level)
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