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      Entretiens chez Capital OneEntretiens d’embauche pour Machine Learning Engineer chez Capital OneEntretien chez Capital One


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      Entretien pour Machine Learning Engineer

      26 juill. 2021
      Candidat à l'entretien anonyme
      Aucune offre
      Expérience négative
      Entretien moyen

      Candidature

      J'ai postulé via un recruteur. Le processus a pris 2 semaines. J'ai passé un entretien chez Capital One en juill. 2021

      Entretien

      Red flags from the beginning, but I didn't heed them. Initially reached out to by a recruiter (the recruiter was a very wonderful person and great to work with - the only good part about my Capital One interview experience), decided to give the coding assessment a shot. Passed that, and instead of being able to talk directly to a hiring manager to learn more about the specific role, they move directly onto a "Power Day" interview ~4.5 hour time commitment. It turns out that Capital One doesn't hire for specific roles, they bring you in and then have you interview with 4 different people who then, if you pass the interviews, assign you to a group to work with. While I can understand that Capital One is a large company and has many openings and groups, this is a terrible format to hire individuals who have niche skills or interests. Unless someone is generally thinking "Oh, I want to work for Capital One doing anything" then this process wastes time on both sides. I have a set of skills and interest in how to grow and apply them. From my reading I thought Capital One would have spots available for me to pursue that growth. The hiring managers weren't specific and the interview questions were focused on generic terminology versus discussing applied experience. I forgot a couple of my technical terms (yes, that one is on me for not preparing better for) that I hadn't used/discussed in a few years. Then I was not able to critically discuss my applied knowledge and projects to a deep extent. I had a hunch I wouldn't make it past the power day(I didn't, technical interview folks said that they had to ask too many guiding questions) - and I was intending to decline the next round if that was in the cards. Format was: 2 Technical interviews with hiring managers who do some ML to a certain extent, 1 Behavioral interview, 1 Case-Study As stated above, technical interviews didn't allow me to discuss my work experience. Interviewers were nit-picky about exact technical terms for some broad concepts. One allowed me to discuss a project I had done, but that happened toward the end of the call. The second (in a more customer/production group) presented a ML type of problem and asked me how I would go about tackling it. He got really in the weeds about some of the computation optimization which isn't something I could answer offhand. Behavioral was good and straightforward. Case study didn't relate to ML at all and was poorly structured but the interviewer and I had a good conversation. TL;DR: If you want to work at Capital One for the sake of working there, by all means go for it. For the most part everyone I spoke with was very nice and excited about their jobs. If you are interested in a specific role, they don't exist. You'll have to go through around 7-8 hours of your time talking with recruiter, taking coding exam, then taking part in a broad power day interview before you get specific details about a role. It was a waste of my time, or maybe it saved time so that I'm aware of this in the future for other employers.

      Questions d'entretien [2]

      Question 1

      A couple interview Qs I can remember are: What is the bias-variance tradeoff? What's a GBM and an example of one? What is under fitting and over fitting?
      1 réponse

      Question 2

      In case study interview: Discuss how you would optimize the cost of cloud compute machines?
      Répondre à cette question
      4

      Autres retours d’entretien d’embauche pour un poste comme Machine Learning Engineer chez Capital One

      Entretien pour Machine Learning Engineer

      24 janv. 2026
      Candidat à l'entretien anonyme
      San Francisco, CA
      Aucune offre
      Expérience neutre
      Entretien moyen

      Candidature

      J'ai postulé en ligne. J'ai passé un entretien chez Capital One (San Francisco, CA) en janv. 2026

      Entretien

      Online technical assessment with 4 questions. Had to screenshare and record myself so they could verify that there was nobody else in the room and that I wasn't using external resources.

      Questions d'entretien [1]

      Question 1

      One of the questions was a stateful bit maniplulation question, You were given an input binary array and a list of commands that either 1. Converted the leftmost bit to 1 2. Turns a bit at a specified index to 0 Your goal was to execute the commands in sequence
      Répondre à cette question

      Entretien pour Machine Learning Engineer

      18 nov. 2024
      Candidat à l'entretien anonyme
      San Jose, CA
      Aucune offre
      Expérience positive
      Entretien moyen

      Candidature

      J'ai postulé en ligne. J'ai passé un entretien chez Capital One (San Jose, CA)

      Entretien

      I applied after some days, got the call from recruiter then the second round was with manager discussing mostly resume, role requirements and some technical questions. Third round is with the manager and one of the team member the team member asked only technical question.

      Questions d'entretien [1]

      Question 1

      What happens when you ask chatgpt something?
      Répondre à cette question
      1

      Entretien pour Machine Learning Engineer

      24 août 2023
      Candidat à l'entretien anonyme
      Offre refusée
      Expérience positive
      Entretien moyen

      Candidature

      J'ai postulé en ligne. Le processus a pris 2 semaines. J'ai passé un entretien chez Capital One en août 2023

      Entretien

      Once application submitted, you will be invitees to take the OA within 14 days. 4 OA technical questions One round back to back interview Overall great and they pay well

      Questions d'entretien [1]

      Question 1

      How do you handle tasks under pressure?
      Répondre à cette question
      1