Ir al contenidoIr al pie de página
  • Empleos
  • Empresas
  • Sueldos
  • Para empleadores

      Impulsa tu carrera profesional

      Averigua cuánto podrías ganar, encuentra el empleo perfecto y comparte información sobre tu vida laboral y personal de forma anónima.

      employer cover photo
      employer logo
      employer logo

      Proxify

      ¿Esta es tu empresa?

      Información
      Evaluaciones
      Pago y prestaciones
      Empleos
      Entrevistas
      Entrevistas
      Búsquedas relacionadas: Evaluaciones de Proxify | Empleos en Proxify | Sueldos en Proxify | Prestaciones en Proxify
      Entrevistas en ProxifyEntrevistas para el cargo de Machine Learning Engineer en ProxifyEntrevista en Proxify


      Glassdoor

      • Acerca de
      • Premios
      • Blog
      • Contacto

      Empleadores

      • Cuenta de empleador gratuita
      • Centro de empleador

      Información

      • Ayuda
      • Pautas
      • Condiciones de uso
      • Privacidad y opciones de anuncios
      • No vender ni compartir mi información
      • Herramienta de autorización de cookies

      Trabaja con nosotros

      • Anunciantes
      • Oportunidades laborales
      Descargar aplicación

      • Buscar por:
      • Empresas
      • Empleos
      • Ubicaciones

      Copyright © 2008-2026. Glassdoor LLC. "Glassdoor", "Worklife Pro", "Bowls" y sus logotipos son marcas comerciales registradas de Glassdoor LLC.

      Empresas seguidas

      Sigue a tus empresas favoritas para estar al tanto de las últimas oportunidades y disponer de información desde adentro.

      Búsquedas de empleo

      Recibe recomendaciones y actualizaciones personalizadas al iniciar tu búsqueda.

      Entrevista para Machine Learning Engineer

      9 nov 2023
      Candidato de entrevista anónimo
      Oferta rechazada
      Experiencia neutra
      Entrevista fácil

      Solicitud

      Me postulé en línea. El proceso tomó 2 semanas. Acudí a una entrevista en Proxify en sep 2023

      Entrevista

      To start with, the job ad contains misleading information. This is a company that pays you *by the hour* if and when you land a job via their platform. I scored high on both technical tests, and received an offer which would have required me to work 50 hours per week (assuming I had a job every day of the year, which is impossible with contracts) in order to achieve the salary stated in the job posting. You also need to provide all your own equipment. The recruiter was very friendly, very helpful and answered all my questions. However they repeatedly declined to tell me examples of companies available via their platform and instead deferred me to Glassdoor (where I could not find that information). The process itself consisted of two online technical rounds (leetcode-style). The first was completely automated, the second was with a human but was also completely automated (the human just read out the questions and recorded my answers without being able to say anything more). On the plus side, the process was fast.

      Preguntas de entrevista [1]

      Pregunta 1

      Some simple algorithm problems (can't remember exactly what they were), solved by a for loop or a nested for loop. Questions about their time and space complexity. Basic theoretical ML questions (explain and give examples of regularization, how to do classification on imbalanced data, etc).
      Responder pregunta
      1
      avatar
      Respuesta de Proxify
      2y
      Thank you for sharing your feedback regarding your experience. We apologize for any confusion or misunderstanding caused by the job ad. Upon receiving your feedback, we promptly reviewed and have since updated our job postings to ensure they accurately reflect the nature of the work, compensation, and any requirements, such as the need to provide your own equipment. Your feedback regarding the recruitment process, especially about the lack of information on potential employers, is also greatly appreciated. While we aim to maintain confidentiality in certain aspects of our platform operations, we understand that candidates need sufficient information to make informed decisions. We will revisit our communication strategies to find a better balance between confidentiality and transparency, ensuring candidates have a clearer understanding of potential employment opportunities. We're glad to hear that you found our recruiter friendly and helpful and that the process was efficient. Thank you again for your candid review. We are committed to improving based on the feedback we receive from candidates like yourself. We wish you the best in your job search and professional endeavors.

      Otras evaluaciones sobre las entrevistas para el cargo de Machine Learning Engineer en Proxify

      Entrevista para Machine Learning Engineer

      12 ago 2025
      Candidato de entrevista anónimo
      Croydon, England
      Sin ofertas
      Experiencia negativa
      Entrevista fácil

      Solicitud

      Me postulé a través de un reclutador. El proceso tomó 2 semanas. Acudí a una entrevista en Proxify (Croydon, England) en ago 2025

      Entrevista

      The recruiter contacted me, took two weeks The process was awful. Are you sure whether you are hiring leetcoders or machine learning engineers? It was two stage process and each process are same except the fact that the last one is read out by interviewer from third party and no further help is provided After technical assesment, you are invited to this weird second stage which is live coding and 3 ML questions. This stage is same as the first one and unfortunately unless all test cases passes, they do not let you to pick up to second task. The interviewer unneccesarily did not let me answer the question although he contradicted himself that we can come back. For the first ML part he told me the time is running up and we need to go on with second one. For the second part, he has not followed the same methodolgy and caused me to spend too much on first task although we could have switch to next one. I assure you his questions in ML was absoultely meaningless!! I was already explaining the reason why we should L1 regularisation should be chosen depending his use case but he asked why not L2 although it relies in the answer! The process did not evaluate real-world ML engineering skills beyond a handful of narrow questions, and did not allow for deeper technical discussion I do not advise this company for senior devs. You need to prepare at least one month leet code challenges, but no useful for real world scenarios

      Preguntas de entrevista [1]

      Pregunta 1

      Regularisation selection of multiple features but few on informative data, ROC/AUC for binary classification and imbalance dataset
      Responder pregunta