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      Entretiens chez SuperhumanEntretiens d’embauche pour Research Scientist chez SuperhumanEntretien chez Superhuman


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      Entretien pour Research Scientist

      12 mars 2018
      Candidat à l'entretien anonyme
      San Francisco, CA
      Aucune offre
      Expérience neutre
      Entretien facile

      Candidature

      J'ai postulé via un recruteur. Le processus a pris 1 semaine. J'ai passé un entretien chez Superhuman (San Francisco, CA) en janv. 2018

      Entretien

      Too much confusion on their side. They did not have a clear role in mind (no qualifications or job description was specified) but were still interviewing. I had asked them about this repeatedly but they assured me that they had 'a plan in mind'. The on-site interview was not timed properly, their interviewers had to leave 15 minutes early or were 30 minutes late. They asked me to focus completely on the research experiences and later said I don't have enough 'software' or 'production' skills.

      Questions d'entretien [1]

      Question 1

      On-Site: All college projects, experience working with professors, internships, and industrial experiences. Behavioral questions. NLP, pipelining, algorithms and AI framework related questions. Gave a research presentation on my work. Ideas on how to improve their product. Phone interview: NLP, ML and statistics questions.
      Répondre à cette question

      Autres retours d’entretien d’embauche pour un poste comme Research Scientist chez Superhuman

      Entretien pour Research Scientist

      30 juin 2017
      Candidat à l'entretien anonyme
      Aucune offre
      Expérience négative
      Entretien moyen

      Candidature

      J'ai postulé en ligne. J'ai passé un entretien chez Superhuman en juin 2017

      Entretien

      After applying online, I had a 30 minutes call with a person from HR. She sent me a simple data science project in which I had to predict the misplacement of English articles (a,an,the). The project came with a readme explaining that for the evaluation metric a value of 0.5 was very good, while the best ever value was close to 0.8. I built a working system that achieved 0.55 in only two days and submitted the project. Never heard back from them for two weeks, and after a lot of anxiety I asked for an update and got the default email telling that I was rejected. If all that they wanted was something close to 0.8, why bothering to say that 0.5 is very good? My advice for future applicants is to aim for the maximal value you can get. This seems like a good company to work, but I am very disappointed with this interview processing.

      Questions d'entretien [1]

      Question 1

      The phone interview had default questions as what was your experience with Python, data science, etc....
      Répondre à cette question
      2

      Entretien pour Research Scientist

      20 mars 2017
      Candidat à l'entretien anonyme
      New York, NY
      Aucune offre
      Expérience négative

      Candidature

      J'ai postulé en ligne. J'ai passé un entretien chez Superhuman (New York, NY) en mars 2017

      Entretien

      I was given a take-home coding task which was definitely not a typical interview task, but rather a real work project. Producing the simplest solution took me 8 hours, I didn't mind doing it just out of curiosity. After I submitted my solution, I got no feedback, just an automatic response that I don't fit.
      3
      avatar
      Réponse de Superhuman
      9y
      Thank you for the feedback about your experience with Grammarly. I wish it were more positive for you. I have shared your comments with the hiring team, and we are exploring how we can be better here in the future. We hope you have a successful search and thank you for considering us.