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Pinterest
Pinterest
1.001 – 5.000 Angajați
Sponsor pentru viza H1BB2CMedia
Pinterest este o platformă de descoperire vizuală unde oamenii găsesc inspirație, salvează idei și le organizează în jurul intereselor, proiectelor și achizițiilor lor. Experiența combină recomandări personalizate și căutare vizuală pentru subiecte precum designul interior, moda, rețetele și evenimentele, ajutând totodată creatorii și comercianții să ajungă la public prin instrumente de comerț și publicitate.
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Locurile de muncă ale companiei

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.

USStatele Unite ale AmericiiCACalifornia
215.250 $ – 285.982 $ / an
RemoteNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăInginer de învățare automată
HadoopSpark

Descriere

  • 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

Cerințe

  • 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

Beneficii

  • 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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