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      Informetis

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      Machine Learning Engineer Interview

      3 Nov 2020
      Anonymous employee
      Cambridge, England
      Accepted offer
      Positive experience
      Difficult interview

      Application

      I applied through a staffing agency. The process took 1+ week. I interviewed at Informetis (Cambridge, England) in May 2020

      Interview

      A take home test followed by an interview with three people from the ML team. The final round was a non-technical interview to discuss motivations and general career topics. The test consisted of four questions, covering stats, programming and two longer questions on two ML problems. The first two are well defined, but the last two were more open ended. It seemed they were looking more for a demonstration of knowledge and thinking style than a specific answer. The interview reflected this. The technical interview went over the paperwork, asking some probing questions in places there were obvious things missing, and asking for justification of various choices. This probed my knowledge around what I had done in the test, so I feel it was gauged quite well to my knowledge level. Clearly the interviewers knew a lot more about the topic than I did so they were able to ask questions toward the edge of what I knew, meaning it was quite obvious to them the level of my ability. Overall a good experience. Lasted about an hour. The final round interview was with two management members that weren't in the ML team. This lasted about 30 minutes and covered motivations and general competency type questions. I felt overall the process was quick and efficient, and was effective at allowing me to demonstrate my personality and knowledge. The take home test came before any screening so I can understand some other reviews complaining about that, but I think the whole process was over in 8 days. More screening interviews before the test probably wouldn't have changed the outcome and would have resulted in more time invested for everyone, so I was quite happy with the format.

      Interview questions [1]

      Question 1

      General ML questions: explain how algorithm x works, how would you generalise this approach to a production problem, what considerations should be taken in terms of training properly.
      1 Answer
      2

      Other Machine Learning Engineer interview reviews for Informetis

      Machine Learning Engineer Interview

      19 Nov 2020
      Anonymous interview candidate
      No offer
      Negative experience
      Difficult interview

      Application

      I applied through a staffing agency. The process took 2 weeks. I interviewed at Informetis

      Interview

      A very long technical take-home test, that for the most part was unclear and open-ended. A technical interview was then conducted, which was awful. The interviewers were very unfriendly and constantly trying to catch you out rather than letting you explain what you did in the test. One guy kept on trying to catch me in a lie... and he didn't succeed as I wasn't lying about anything. I was not surprised that I didn't proceed further, but I would have withdrawn my application if I did because I would not be able to work in such a hostile environment.

      Interview questions [1]

      Question 1

      How is a random forest different from xgboost
      Answer question
      1

      Machine Learning Engineer Interview

      1 Nov 2020
      Anonymous interview candidate
      No offer
      Negative experience
      Average interview

      Application

      I applied through a recruiter. The process took 2 months. I interviewed at Informetis in Oct 2020

      Interview

      Take home exam The company provided one line feedback for the test which really took a week to complete. It was very unprofessional interview process. I applied through the recruiter, he was very professional and available to discuss every thing. But, the company didn't corporate well with the recruiter.

      Interview questions [1]

      Question 1

      Test and train classifier There was insufficient information to handle questions.
      Answer question

      Machine Learning Engineer Interview

      23 Jul 2020
      Anonymous interview candidate
      Cambridge, England
      No offer
      Negative experience
      Average interview

      Application

      I applied through a recruiter. The process took 2 weeks. I interviewed at Informetis (Cambridge, England) in Jun 2020

      Interview

      One of my worst interview experiences. Applied through a recruiter and the process took about 2 weeks. No phone interview, they just sent a paper of 4 questions to complete. There was no clear time limit on how long was required to complete all 4 questions. Questions were not worded clearly, and it was difficult to know exactly how much detail they wanted to see. The difficulty of each question wasn't that hard, but they were definitely time-consuming. The feedback I received was "not enough machine learning shown", which I think could have been avoided if they were more specific in each of the questions. The overall feedback wasn't very helpful. They also expected me to explain everything about the pros and cons and the reasons for me using particular libraries (which again wasn't clearly worded in the question). Overall, I felt like they were expecting very detailed solutions for a set of simple and poorly worded questions. Given their expectations on each question, I'd imagine it being extremely time-consuming for most candidates to complete everything within a week to satisfactory standards if they have multiple other ongoing applications. I wouldn't recommend applying unless they change their process and improve on their questions and overall expectation.

      Interview questions [1]

      Question 1

      Build, train, and test a classifier on a given dataset.
      Answer question
      avatar
      Informetis response
      4y
      Thank you for your honest feedback. We're sorry that your interview experience with us was a negative one. We will use your feedback to enhance our interview process to ensure that no future candidate has a similar experience.

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