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Machine Learning Engineer Interviews

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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.

8,210 machine learning engineer interview questions shared by candidates

Phone1: Spent 20-25 min out of 45 min talking about what I work right now since they were doing very similar. Then coding - something related to interval problem. Phone2: Same thing spent 25 min out 45 min talking about what I work right now and then 2 sum problem! So my impression was I'm interviewing for Machine Learning role. In between phone/onsite recruiter changed. 1st one told me there will be Machine Learning round for onsite. Second one said we can't tell you much but yeah there will be ML questions. The procedure isn't standardized. She mentioned before interview she will tell me about what all round will be what for onsite. Including giving hint about ML questions. Totally different thing happened at onsite: onsite1: Again interested in what I work on. Asked me what would I like model building vs building ML pipeline. (And THAT according to them is ML question!) And write snake game. easy. onsite2: Design. Autonomous car collects data. We want to get the data out (say speed/location etc) and also push data (like some commands) how would you design. Well broad question but whatever we can do onsite3 (30 min): lunch onsite4: Behavior. I believe this judges your level. As well as you're not jerk! Questions like: Have you faced a situation where your design was wrong etc.. Don't remember onsite5: Ops. WEIRD right? for Machine Learning they asked me Ops!? If you're Amazonian you would nail it. How and where would you put metrics. onsite6(30 min): Car ride. onsite7: Manager round. Something like behavior. After interview: Recruiter: Sorry I couldn't give you details about what all interview will be. But did you find anything odd? Me: Yeah, there were not ML questions. And Ops? I don't know. She: Oh ok, how did you like team ... Me:... Result: Recruiter: Well we're not moving forward cause your ML experience not meeting bar. I was like WTF you didnt ask me any ML question. Me: Could you at least give me feedback? She: 1st round you were asked ML questions and there were not satisfactory. You don't have work experience in ML. ME: well no there were no questions. And yes you're right I've academic experience (I was referred and person had made sure it is fine) She: You were more of generic role but we got just 1 senior eng role open but you're not meeting senior level. Me still: Without asking ML questions how did they decide its no? I believe what they interview for was COMPLETELY different role and senior role - like to let's give it a shot. I'm baffled by their interview process. If you take ML interview and reject me cause I didn't do well on questions - sure makes sense. But why would you reject for something that you haven't interviewed me for?
avatar

May BE Machine Learning Engineer

Interviewed at Uber

3.7★
Feb 14, 2018

Phone1: Spent 20-25 min out of 45 min talking about what I work right now since they were doing very similar. Then coding - something related to interval problem. Phone2: Same thing spent 25 min out 45 min talking about what I work right now and then 2 sum problem! So my impression was I'm interviewing for Machine Learning role. In between phone/onsite recruiter changed. 1st one told me there will be Machine Learning round for onsite. Second one said we can't tell you much but yeah there will be ML questions. The procedure isn't standardized. She mentioned before interview she will tell me about what all round will be what for onsite. Including giving hint about ML questions. Totally different thing happened at onsite: onsite1: Again interested in what I work on. Asked me what would I like model building vs building ML pipeline. (And THAT according to them is ML question!) And write snake game. easy. onsite2: Design. Autonomous car collects data. We want to get the data out (say speed/location etc) and also push data (like some commands) how would you design. Well broad question but whatever we can do onsite3 (30 min): lunch onsite4: Behavior. I believe this judges your level. As well as you're not jerk! Questions like: Have you faced a situation where your design was wrong etc.. Don't remember onsite5: Ops. WEIRD right? for Machine Learning they asked me Ops!? If you're Amazonian you would nail it. How and where would you put metrics. onsite6(30 min): Car ride. onsite7: Manager round. Something like behavior. After interview: Recruiter: Sorry I couldn't give you details about what all interview will be. But did you find anything odd? Me: Yeah, there were not ML questions. And Ops? I don't know. She: Oh ok, how did you like team ... Me:... Result: Recruiter: Well we're not moving forward cause your ML experience not meeting bar. I was like WTF you didnt ask me any ML question. Me: Could you at least give me feedback? She: 1st round you were asked ML questions and there were not satisfactory. You don't have work experience in ML. ME: well no there were no questions. And yes you're right I've academic experience (I was referred and person had made sure it is fine) She: You were more of generic role but we got just 1 senior eng role open but you're not meeting senior level. Me still: Without asking ML questions how did they decide its no? I believe what they interview for was COMPLETELY different role and senior role - like to let's give it a shot. I'm baffled by their interview process. If you take ML interview and reject me cause I didn't do well on questions - sure makes sense. But why would you reject for something that you haven't interviewed me for?

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