previous experiences with python and deep learning frameworks
Ml Engineer Interview Questions
1,795 ml engineer interview questions shared by candidates
What's your motivation of joining and why are you interested in this specific role? How do you feel in a client facing role?
backtracking problem from leet code
1) Given an accelerator with no memory to store the previous layer activations, Can you reuse the convolution output of a particular patch of the image for the next convolution operation? If so how, if not why? 2) Is it possible to reduce the multiple convolutions into a single convolution operation to speed up the execution?
How To Complete This Assessment This is a test to gauge specific skill requirements related to the Machine Learning Team Lead role at HouseSigma. You can copy the questions to a Google doc and share it (open to the internet) or use any document editing software of your choice and send us the PDF. For the last question, it is to be completed in Github. Details: Below you will find 3 problems to solve. Please solve problem 1. We are looking for your thought process and modelling technique. No need for codes, unless you think it will help you to explain. Problem 2 is a bonus, and not required. No need for codes. Problem 3 is a simple software test. (do not worry if you don’t know everything for this part, try to finish this as best as you can, we are more interested in your solutions to problems 1 or 2). Problem 1: Description: HouseSigma’s Sigma estimate home valuation has been one of the more popular features on the HouseSigma app or website. A home is often the largest and most expensive purchase a person makes in his or her lifetime. Ensuring homeowners have a trusted way to monitor this asset is incredibly important. The Sigma estimate was created to give consumers as much information as possible about homes and the housing market, marking the first time consumers had access to this type of home value information at no cost. Goal: Use Machine Learning to create your own home price prediction model with the data set below aring Features & Columns: Target: price_sold Id: id_listing For other features (we have a lot more other features), please try to make your own assumptions. Deliverables: Note that the purpose of this test is not about how many hours you are going to spend on it but rather a test on your existing modeling pipeline and thinking process. Please send us ● How you would model this problem ● How you interpret the results. ● How you would monitor this in production
How To Complete This Assessment This is a test to gauge specific skill requirements related to the Machine Learning Team Lead role at HouseSigma. You can copy the questions to a Google doc and share it (open to the internet) or use any document editing software of your choice and send us the PDF. For the last question, it is to be completed in Github. Details: Below you will find 3 problems to solve. Please solve problem 1. We are looking for your thought process and modelling technique. No need for codes, unless you think it will help you to explain. Problem 2 is a bonus, and not required. No need for codes. Problem 3 is a simple software test. (do not worry if you don’t know everything for this part, try to finish this as best as you can, we are more interested in your solutions to problems 1 or 2). Problem 1: Description: HouseSigma’s Sigma estimate home valuation has been one of the more popular features on the HouseSigma app or website. A home is often the largest and most expensive purchase a person makes in his or her lifetime. Ensuring homeowners have a trusted way to monitor this asset is incredibly important. The Sigma estimate was created to give consumers as much information as possible about homes and the housing market, marking the first time consumers had access to this type of home value information at no cost. Goal: Use Machine Learning to create your own home price prediction model with the data set below aring Features & Columns: Target: price_sold Id: id_listing For other features (we have a lot more other features), please try to make your own assumptions. Deliverables: Note that the purpose of this test is not about how many hours you are going to spend on it but rather a test on your existing modeling pipeline and thinking process. Please send us ● How you would model this problem ● How you interpret the results. ● How you would monitor this in production
Description: HouseSigma’s Sigma estimate home valuation has been one of the more popular features on the HouseSigma app or website. A home is often the largest and most expensive purchase a person makes in his or her lifetime. Ensuring homeowners have a trusted way to monitor this asset is incredibly important. The Sigma estimate was created to give consumers as much information as possible about homes and the housing market, marking the first time consumers had access to this type of home value information at no cost. Goal: Use Machine Learning to create your own home price prediction model with the data set below
Everything that they've asked was from resume
It was a standard leet code
Resume Projects. Basic Fundamentals of Fastapi, Model training, huggingface models, recent ai models
Viewing 961 - 970 interview questions
See Interview Questions for Similar Jobs
Ai Machine Learning EngineerDeep Learning Research EngineerData Science EngineerSenior Machine Learning EngineerApplied ScientistApplied Machine Learning EngineerArtificial Intelligence EngineerMachine Learning ResearcherMachine Learning SpecialistDeep Learning ScientistMachine Learning ConsultantJunior Machine Learning EngineerData Scientist TraineePython Machine Learning EngineerArtificial Intelligence ConsultantMachine Learning Cloud ConsultantArtificial Intelligence DeveloperMachine Learning Research