Pinterest
Pinterest
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H1B vizasi homiysiB2CMedia
Pinterest — odamlar ilhom topadigan, g‘oyalarni saqlaydigan va ularni qiziqishlari, loyihalari hamda xaridlari atrofida tartibga soladigan vizual kashfiyot platformasidir. Platforma uy dizayni, moda, retseptlar va tadbirlar kabi mavzularda shaxsiylashtirilgan tavsiyalarni vizual qidiruv bilan birlashtiradi, shuningdek, tijorat vositalari va reklama orqali ijodkorlar hamda chakana savdo kompaniyalariga auditoriyaga yetib borishda yordam beradi.

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.

Tavsif

  • 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

Talablar

  • 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

Imtiyozlar

  • 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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