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      Cruise

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      Buscas relacionadas: Avaliações da empresa Cruise | Vagas da empresa Cruise | Salários da empresa Cruise | Benefícios da empresa Cruise
      Entrevistas da empresa CruiseEntrevistas do cargo de Perception Expert da empresa CruiseEntrevista da empresa Cruise


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      Entrevista para Perception Expert

      24 de fev. de 2018
      Funcionário(a) sigiloso(a)
      San Francisco, CA
      Oferta aceita
      Experiência positiva
      Entrevista com nível médio de dificuldade

      Candidatura

      Candidatei-me por indicação de um funcionário. Fui entrevistado pela Cruise (San Francisco, CA) em jan. de 2018

      Entrevista

      I was an overseas candidate. The Cruise recruiters and engineering team were very responsive and accomodating given the time difference and dates on which I could do an on-site. Each step was confirmed either the same day or the day after with a go/no-go. - Initial phone screen with a recruiter to discuss background, what I knew about Cruise, and what I was interested in. Talked about which teams there are, and which I might be interested in. - A coding task with an engineer using coderpad. I also had the chance to ask questions about the engineer's role, and the company as a whole. We then discussed more about my background and projects, as well as my overall skillset. - On site. We got this scheduled right away to match with the dates I could visit. It was four hours of back-to-back interviews with the engineering team. Questions ranged from behavioral, to programming, to open-ended systems design questions, to the details of what I'd done in my projects to date. It was extremely tiring but everyone I spoke to was very enthusiastic, and the positive energy kept me going. - Received an offer within the same week.

      Perguntas de entrevista [1]

      Pergunta 1

      Leaving this unfilled as I'm under NDA regarding the interview specifics.
      Responder à pergunta
      2

      Outras avaliações de entrevista de vagas de Perception Expert da empresa Cruise

      Entrevista para Perception Expert

      5 de mar. de 2018
      Funcionário(a) sigiloso(a)
      Oferta aceita
      Experiência positiva
      Entrevista com nível médio de dificuldade

      Candidatura

      Fiz uma entrevista na empresa Cruise.

      Entrevista

      Pretty solid interview process. I felt the whole thing was very professional, despite a few small hiccups mostly around timing. FIRST CONTACT: I applied through a referral in Nov 2017. A recruiter called me within a week, and we spoke on the phone about potential roles. Because of the holiday we had to set up the phone screen for mid-December. PHONE SCREEN: There were two phone screens, one around machine learning and perception related domain knowledge and one focused more on coding. Both screens had some amount of coding, and I did both in C++. Coding questions were fairly standard ones, with a bit of a math bent to them. ONSITE: I went onsite in Jan 2018. The visit was a half-day of interviews, starting at 1pm. I really appreciated that I didn't have to take a full day off work to attend this. Interviews were fairly split between domain expertise and coding. Reasonably challenging coding questions, I'd say around the same level of difficulty as a Google or Facebook coding interview. I got to check out the cars and got a hand written thank you card for coming in, which was nice and I really felt like the interview was a two-way process. OFFER: I received an offer a week or so later. Comp was competitive with competing offers from Facebook and Google, although not before negotiation. NEGATIVES: Not much. One interviewer forgot about me and came late, so we had to shorten that interview by 10ish minutes, so that wasn't great.

      Perguntas de entrevista [1]

      Pergunta 1

      Some standard coding questions, with some bias towards graph and matrix problems (reasonable given the domain). Design problems around machine learning and optimization, all very open-ended with lots of room to discuss. Not a ton of math, although basics of optimization and stats/multivariate calculus assumed (especially around deep learning).
      Responder à pergunta
      8

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