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Sr Machine Learning Engineer, Applied Research Science

Pinterest

$177,309 - $310,291
Nov 4, 2025
San Francisco, CA, US • Palo Alto, CA, US • Seattle, WA, US
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Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. This role aims to build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest.

Requirements

  • 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  • End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  • Publications at top ML conferences
  • Expertise in scalable realtime systems that process stream data

Responsibilities

  • Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  • Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  • Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  • Work in a high-impact environment with quick experimentation and product launches
  • Keeping up with industry trends in recommendation systems

Other

  • This position is not eligible for relocation assistance.
  • US based applicants only
  • Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
  • Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit.
  • If you require a medical or religious accommodation during the job application process, please complete this form for support.