How to develop domain specific vectors
Junior Machine Learning Engineer Interview Questions
8,208 junior machine learning engineer interview questions shared by candidates
Why are you looking to switch?
First being the introductory call exploring the previous work and depth in it. Second round was a case study , a ML problem statement was given and a holistic solution considering data, architecture, latency monitoring was expected. Third round was paper discussion, A published research paper is shared prior to the interview. During the interview, the paper is discussed and critiqued, questions were asked around paper's novelty, short-comings, performance at different metrics, its usability/reproducibility and how the work can be continued further.
Common ML questions such as overfitting, unbalanced data set, supervised and unsupervised, etc.
They asked about classical machine learning then the field that you continued your study in.
More statistical questions and presentation
The phone screen has LC tagged Bloomberg question
Tell me somthing about your self?
Regarding ML, DS and other AI and python related.
Given two sorted arrays nums1 and nums2 of size m and n respectively, return the median of the two sorted arrays. The overall run time complexity should be O(log (m+n)).
Viewing 4761 - 4770 interview questions
See Interview Questions for Similar Jobs
Ai Machine Learning EngineerMachine Learning ResearcherMachine Learning EngineerSenior Machine Learning EngineerPython Machine Learning EngineerMachine Learning SpecialistDeep Learning Research EngineerAi Software EngineerMl EngineerApplied Machine Learning EngineerDeep Learning EngineerMachine Learning ResearchMachine Learning ConsultantSenior Computer Vision EngineerSenior Artificial Intelligence EngineerDeep Learning ScientistData Science EngineerMachine Learning Research Engineer