Pinterest
Pinterest
1 001 – 5 000 Қызметкерлер
H1B визасының демеушісіB2CМедиа
Pinterest — адамдар шабыт тауып, идеяларды сақтап, оларды қызығушылықтары, жобалары мен сатып алулары бойынша реттейтін визуалды іздеу платформасы. Оның қызметі үй дизайны, сән, рецепттер және іс-шаралар сияқты тақырыптарда жекелендірілген ұсыныстар мен визуалды іздеуді біріктіреді, сондай-ақ сауда құралдары мен жарнама арқылы авторлар мен бөлшек саудагерлерге аудиторияға жетуге көмектеседі.

Machine Learning Engineer II at Pinterest (California Remote)

Develop deep-learning personalization for Pinterest’s Homefeed, Ads, Shopping, and Search. Improve retrieval, recommendation systems, and content understanding through machine learning and LLMs.

Сипаттама

  • Develop personalization technology using deep learning and machine learning advances
  • Collaborate across Pinterest to test and enhance models for Homefeed, Ads, Growth, Shopping, and Search
  • Apply data-driven techniques and Pinterest data to improve candidate retrieval
  • Support rapid experimentation and high-impact product launches
  • Track developments in recommendation systems
  • Use large language models to strengthen content understanding

Талаптар

  • Master’s degree, or foreign equivalent, in Computer Science, Data Science, Business Analytics, Engineering, or a closely related quantitative field
  • At least three years of experience in the offered role or a related occupation
  • At least two years of experience with user modeling
  • At least two years of experience in personalization
  • At least two years of experience with recommender systems
  • At least two years of experience in search and ranking
  • At least two years of experience in natural language processing
  • At least two years of experience in reinforcement learning
  • At least two years of experience in graph representation learning
  • At least two years of hands-on experience developing data processing pipelines
  • At least two years of experience with Hadoop and Spark
  • At least two years of experience in retrieval targeting
  • At least two years of experience applying current deep learning and machine learning advances
  • At least two years of experience improving machine learning models across product surfaces
  • Any suitable combination of education, training, and experience is acceptable
  • Applicants must be based in the United States

Артықшылықтар

  • Eligibility for equity
  • Option to work remotely full time
  • Flexible work arrangements
  • Equal opportunity and legally compliant employment consideration
  • Support for medical or religious accommodations during the application process

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