Ir para o conteúdoIr para a pasta
  • Vagas
  • Empresas
  • Salários
  • Para empresas

      Avance em sua carreira

      Descubra qual pode ser seu salário, conquiste a vaga dos seus sonhos e compartilhe insights de qualidade de vida com sigilo.

      employer cover photo
      employer logo
      employer logo

      Pinterest

      Empresa engajada

      Sobre
      Avaliações
      Remuneração e benefícios
      Vagas
      Entrevistas
      Entrevistas
      Buscas relacionadas: Avaliações da empresa Pinterest | Vagas da empresa Pinterest | Salários da empresa Pinterest | Benefícios da empresa Pinterest
      Entrevistas da empresa PinterestEntrevistas do cargo de Machine Learning Engineer da empresa PinterestEntrevista da empresa Pinterest


      Glassdoor

      • Sobre
      • Prêmios
      • Blog
      • Fale conosco

      Empresas

      • Conta gratuita de empresa
      • Área da empresa
      • Blog para empresas

      Informações

      • Ajuda
      • Regras da Comunidade
      • Termos de Uso
      • Privacidade e opções de anúncios
      • Não venda nem compartilhe minhas informações
      • Ferramenta de consentimento de uso de cookies

      Trabalhe conosco

      • Anunciantes
      • Carreiras
      Baixe o aplicativo:

      • Busque por:
      • Empresas
      • Vagas
      • Localizações

      Copyright © 2008-2026. Glassdoor LLC. “Glassdoor”, “Worklife Pro”, “Bowls” e o logotipo do Glassdoor são marcas comerciais pertencentes à Glassdoor LLC.

      Empresas seguidas

      Fique por dentro de todas as oportunidades e dicas internas seguindo as empresas de seus sonhos.

      Buscas de vagas

      Comece a buscar vagas para receber atualizações e recomendações personalizadas.

      Entrevista para Machine Learning Engineer

      8 de ago. de 2022
      Candidato(a) sigiloso(a) à entrevista
      Nenhuma oferta
      Experiência negativa
      Entrevista com nível médio de dificuldade

      Candidatura

      Candidatei-me por meio de recrutador(a). Fui entrevistado pela Pinterest em jun. de 2022

      Entrevista

      Started with a phone screen which involved some ML knowledge/trivia questions, followed by a coding problem. This went well and I moved on to the virtual onsite. The interviewers were nice and overall process was well organized. I walked out of the onsite feeling pretty good. Following the onsite, I did not hear back regarding a decision and whenever I emailed my recruiter about it, he would tell me that they still haven't reached a decision yet, even an entire month after my interview. I can understand if Pinterest didn't think I was a good fit, or if they decided to freeze hiring, as many tech companies are doing right now. At the very least, get back to me with a decision. I ended up taking an offer elsewhere, because I can't afford to keep waiting. In the end, I still don't know how I did in the interview. And this is not to mention that my recruiter was incredibly unresponsive. My emails would often go unanswered or ignored for days. Given this experience, I don't think I will interview at Pinterest ever again.

      Perguntas de entrevista [1]

      Pergunta 1

      ML design question involving ranking/recommendations Big data question about SQL 3 coding questions: First one is a variation on binary search. Second one is a graph traversal problem (think BFS). Last one involved implementing matrix addition and multiplication for sparse matrices.
      Responder à pergunta
      3
      avatar
      Resposta da empresa Pinterest
      3y
      Thank you for interviewing at Pinterest and for sharing this review. We appreciate you taking the time to provide your feedback. We’re working hard every day to create the best possible recruiting experience, and we’ll be sure to address this feedback as we build for the future. If you have any additional details that you’d like to share, send us an email at gd@pinterest.com. Pinterest Recruiting

      Outras avaliações de entrevista de vagas de Machine Learning Engineer da empresa Pinterest

      Entrevista para Machine Learning Engineer

      2 de jun. de 2026
      Funcionário(a) sigiloso(a)
      Oferta aceita
      Experiência neutra
      Entrevista fácil

      Candidatura

      Fiz uma entrevista na empresa Pinterest.

      Entrevista

      The phone screen was a mix of behavioral questions and some basic technical concepts, which was a bit different from what I anticipated. After that, I faced a technical round that focused on implementing sparse matrix operations. To my surprise, the coding question was nearly identical to what I'd practiced in the algorithm section on PracHub just days before. The onsite interview included some more DSA challenges and a discussion on machine learning concepts, which helped me feel well-prepared. Overall, the experience was smooth, and I accepted the offer afterward.

      Perguntas de entrevista [1]

      Pergunta 1

      Implement sparse matrix storage, addition, and multiplication
      Responder à pergunta

      Entrevista para Machine Learning Engineer

      7 de mar. de 2026
      Candidato(a) sigiloso(a) à entrevista
      Nenhuma oferta
      Experiência negativa
      Entrevista difícil

      Candidatura

      Fiz uma entrevista na empresa Pinterest.

      Entrevista

      The assessment time was very short and harsh. There were lots of questions with a very limited time. I liked the other big companies' assessments better. For example, Meta and Google assessments are through talking to a person while coding.

      Perguntas de entrevista [1]

      Pergunta 1

      It was an algorithm and technical assessment.
      Responder à pergunta

      Entrevista para Machine Learning Engineer

      16 de abr. de 2026
      Candidato(a) sigiloso(a) à entrevista
      Nenhuma oferta
      Experiência positiva
      Entrevista difícil

      Candidatura

      Fui entrevistado pela Pinterest em fev. de 2026

      Entrevista

      I applied for the new grad MLE position. The process included an online assessment, a 20-minute HR call, and four onsite interviews (two coding and two machine learning system design).