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      Búsquedas relacionadas: Opiniones sobre Wayve | Ofertas de empleos en Wayve | Sueldos en Wayve | Beneficios en Wayve
      Entrevistas de WayveEntrevistas para el puesto de Machine Learning Engineer en WayveEntrevista de Wayve


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      Entrevista de Machine Learning Engineer

      17 mar 2026
      Candidato de entrevista anónimo
      Londres, Inglaterra
      Sin oferta
      Experiencia neutra
      Entrevista normal

      Solicitud

      Acudí a una entrevista en Wayve (Londres, Inglaterra)

      Entrevista

      Four interviews: 1. 15m call with in-house recruiter about role. 2. 1h no coding problem solving interview. I was given a deep learning case study and had to talk about how I'd go about solving it. 3. 1h programming interview. Data structures and algorithms. 4, 1h PyTorch debugging interview. I was given a Google colab notebook which trained a CNN, and I had to debug errors.

      Preguntas de entrevista [1]

      Pregunta 1

      Given a dataset containing telemetry and video data from autonomous vehicles, how would you pull out all examples when the vehicle needed to make an emergency break due to being cut-off by another vehicle on the road.
      Responder pregunta
      1
      avatar
      Respuesta de Wayve
      2mo
      It’s helpful to see how the different stages came across, especially the mix of case study, coding, and debugging. We also recognise it’s a fairly involved loop, so we appreciate you taking the time to go through it and share your perspective. Thanks for taking the time to leave this review, and we wish you all the best in your next steps. – Wayve Team

      Otras opiniones sobre las entrevistas para el puesto de Machine Learning Engineer en Wayve

      Entrevista de Machine Learning Engineer

      22 jul 2025
      Candidato de entrevista anónimo
      Sin oferta
      Experiencia neutra
      Entrevista normal

      Solicitud

      Solicité el puesto a través de un captador. El proceso duró 1 semana. Acudí a una entrevista en Wayve en jul 2025

      Entrevista

      I had an introductory call with the recruiter, and it seemed like they were hiring for multiple teams—such as the data team, model team, etc. From the conversation, it felt like the recruiter understood my strengths and decided to move me forward to the next stage. I then had two one-hour interviews: one focused on machine learning and the other on ML system design. I believe I answered the questions reasonably well and was optimistic about progressing further. However, two days later, I was informed that Wayve did not see a direct match between my skill set and their current requirements. They mentioned it would be good to stay in touch in case things change in the future. While I enjoyed the interview process and found it to be a good learning experience, I found the outcome a bit disorganized. It’s surprising that a mismatch in skill set wasn’t identified earlier, especially since one of the key responsibilities of a recruiter is to ensure alignment before moving candidates forward in the process. Additionally, I didn’t receive any feedback from the interviewers, which is disappointing—as it would have been helpful to understand what went well and where I could improve.

      Preguntas de entrevista [1]

      Pregunta 1

      Closely related to the problems they are working on.
      Responder pregunta
      1

      Entrevista de Machine Learning Engineer

      28 nov 2024
      Candidato de entrevista anónimo
      Sin oferta
      Experiencia negativa
      Entrevista difícil

      Solicitud

      Solicité el puesto a través de un captador. Acudí a una entrevista en Wayve en nov 2024

      Entrevista

      Initial recruiter call followed by applied ML inter iew with one of the most pompous people I've ever come across. This interviewer started off by asking me for an introduction and cut me off after 2 words. He kept interjecting every few seconds under the pretense of asking something pertinent. If this person was going to be my teammate, I'd avoid!

      Preguntas de entrevista [1]

      Pregunta 1

      Explain your experience? Theoretical (equation level) questions on recent foundational models.
      Responder pregunta
      3

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