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      Entretien pour Senior Machine Learning Engineer

      16 août 2023
      Employé (anonyme)
      Vancouver, BC

      Autres retours d’entretien d’embauche pour un poste comme Senior Machine Learning Engineer chez HouseSigma

      Entretien pour Senior Machine Learning Engineer

      17 juil. 2023
      Candidat à l'entretien anonyme
      Boucherville, QC
      Aucune offre
      Offre acceptée
      Expérience positive
      Entretien moyen

      Candidature

      J'ai postulé en ligne. J'ai passé un entretien chez HouseSigma (Vancouver, BC) en août 2021

      Entretien

      After submitting my application, they quickly contacted me by a email and booked an appointment for the comming initial screening interview. During the screen interview, I had a friendly and nice meeting with the data science team. They asked me about my background, skills and projects I have done, and career goal, also why I was interested in join in HouseSigma Inc. I also asked some details about the group and the working culture. After that, they wanted me to finish a home assignment test with the dataset they provided. This project was very interested and confidential. I like this project very much, and finished it with some advanced and cutting edge algorithms and technologies happily. After getting my solution and a couple days later, we had another interview to present my thoughts about this project, the methods and algorithms, and the disadvantages and advantages of the machine learning algorithms, etc. This meeting is very nice like a regular meeting in the company. Showing true yourself was very great. Then, I had an another interview with the CTO and the CEO, the CTO focused on software development, and questions related, and the CEO asked many questions about business and the math behind modelling. They are very professional and smart with so much experience in the above fields, and pretty nice. A few days, they call me, and would give an offer and I would like to accept it. Generally, the project is very interesting, and the interviews were good to me, and the team is very good and professional.

      Questions d'entretien [1]

      Question 1

      1, why are you interested in join us? 2, tell me about yourself. 3, tell me about the projects you have done. 4, tell me about your career' goal . 5, what kind of working culture do you prefer?
      Répondre à cette question
      Expérience négative
      Entretien difficile

      Candidature

      J'ai postulé en ligne. Le processus a pris 4 semaines. J'ai passé un entretien chez HouseSigma (Boucherville, QC) en juil. 2023

      Entretien

      There's an initial screening interview and a coding interview followed by a take home test. The take home test is long. Afterward, they scheduled a 2nd interview to tell me they rejected me rather than sending me an email. They also rescheduled this "interview" 3 times, making me plan time 3 times for them, while it wasn't even useful. If you do their take home, make sure to include a lot more than what they ask for since they told me it was why they didn't take me.

      Questions d'entretien [1]

      Question 1

      Use Machine Learning to create your own home price prediction model with the data set below. Build a model to intelligently match our clients with the real estate agent that has the highest chance of completing a transaction. Please complete the questions in https://github.com/housesigma/hr-test-python
      Répondre à cette question
      2

      Entretien pour Senior Machine Learning Engineer

      16 août 2023
      Candidat à l'entretien anonyme
      Aucune offre
      Expérience positive
      Entretien difficile

      Candidature

      J'ai postulé en ligne. Le processus a pris 8 semaines. J'ai passé un entretien chez HouseSigma en juil. 2023

      Entretien

      The interview process is clear and described by the HR personnel. It is five stages: initial technical code test and Multiple choice, HR discussion, Take home assessment, review of assessment and meeting hiring manager, interview with CEO. The initial test was a great test of ML theory, one of the best tests I’ve done. The HR meeting was great, very friendly, helpful, and understanding - this was a great discussion! The take home assessment was not an easy one as it wasn’t clear how in depth or how long the submission should be. But I believe it’s all up to how much you feel like putting into it to stand out. You have 5 days to submit. The meeting with the hiring manager to review the submission was the best part as it was a very educational discussion about the choices and theory in the submission. Any ML enthusiast would love this part. The final meeting with CEO was interesting meeting where they would try to understand if you are a good fit to the company and culture and if your goals are aligned. This gives you a chance to ask more about the company.

      Questions d'entretien [1]

      Question 1

      A lot of ML questions and about your experience. Theoretical and practical questions. Interest and knowledge about HouseSigma.
      Répondre à cette question

      Entretien pour Senior Machine Learning Engineer

      15 août 2023
      Candidat à l'entretien anonyme
      Aucune offre
      Expérience positive
      Entretien moyen

      Candidature

      J'ai postulé en ligne. Le processus a pris 3 semaines. J'ai passé un entretien chez HouseSigma en juin 2023

      Entretien

      The hiring process starts with an online Python/ML (MC+coding) test, then the recruiter-call round, then the take-home test, then 1-2 more rounds afterward. I failed the take-home test round. Even though there are many rounds of interviews, I felt my time of investment was worth it. The team respected my efforts. The hiring manager even scheduled half an hour to discuss potential improvements on my take-home tests with me, even though he had decided not to move forward with my application. Also, the recruiter was responsive and interactive throughout the process. It was definitely one of my best interview experiences.

      Questions d'entretien [1]

      Question 1

      Share your thought process on building a recommendation engine on agent-user pairing.
      Répondre à cette question