Sr. Machine Learning Engineer

Pinterest Job Advertisements•Seattle, WA
•Hybrid

About The Position

Pinterest is hiring a Sr. Machine Learning Engineer to build technology using advances in deep learning and machine learning to personalize Pinterest. The role partners with teams across Pinterest to experiment with and improve machine learning models for product surfaces including Homefeed, Ads, Growth, Shopping, and Search, while developing knowledge of machine learning across these areas. It uses data-driven methods and the unique properties of Pinterest’s data to improve candidate retrieval and supports rapid experimentation and product launches in a high-impact environment. The engineer is also expected to keep up with industry trends in recommendation systems. Part-time telecommuting is an option; the position is hybrid and based at Pinterest’s Seattle, Washington office.

Requirements

  • Master’s degree (or foreign degree equivalent) in Computer Science, Business Analytics, Engineering (any field), or a closely related quantitative discipline.
  • Four years of experience in the job offered or in an occupation in a related field.
  • Four years of experience in user behavior modeling.
  • Four years of experience with recommender systems.
  • Four years of experience in ML-based content personalization.
  • Four years of experience building large-scale data processing pipelines on Hadoop or Spark.
  • Four years of experience with large-scale machine learning systems.
  • Four years of experience presenting technical ML content to non-technical leaders.
  • Four years of experience developing large-scale ranking models.
  • Four years of experience orchestrating, executing, and analyzing large-scale A/B tests.
  • Four years of experience analyzing and modeling internet-scale graph structures.
  • Four years of experience developing large-scale ML models on TensorFlow or PyTorch.
  • Any suitable combination of education, training, and experience is acceptable.

Responsibilities

  • Build technology using the latest advances in deep learning and machine learning to personalize Pinterest.
  • Partner with teams across Pinterest to experiment with and improve machine learning models for Homefeed, Ads, Growth, Shopping, and Search.
  • Use data-driven methods and the unique properties of Pinterest’s data to improve candidate retrieval.
  • Work in a high-impact environment involving quick experimentation and product launches.
  • Keep up with industry trends in recommendation systems.
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