P

Pinterest

Runs an app for finding and saving visual ideas

Machine Learning Engineer - Core Engineering

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeRemote

About the Job

Requirements

  • At least 2 years of industry experience applying machine-learning methods, such as user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning.
  • End-to-end hands-on experience building data-processing pipelines, large-scale machine-learning systems, and big-data technologies such as Hadoop or Spark.
  • A bachelor's degree in computer science, machine learning, statistics, a related field, or equivalent experience.

Responsibilities

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

Desired Qualifications

  • A master's degree or PhD in machine learning or related areas.
  • Publications at top machine-learning conferences.
  • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.
  • Familiarity with large-language-model-powered productivity tools for documentation search, experiment analysis, SQL and data exploration, and engineering workflow acceleration.
  • Expertise in scalable real-time systems that process stream data.
  • Passion for applied machine learning and the Pinterest product.

About the Company

Pinterest

Runs an app for finding and saving visual ideas

Pinterest runs a visual search and discovery app where people look for ideas in areas like cooking, home decor, fashion, and travel, then save the images they like to themed collections called boards. In 2012 it became the fastest standalone website to reach 10 million monthly US visitors, according to measurement firm comScore. Each saved image, called a Pin, links back to its source, such as a recipe or a product page, and people search with words or with a photo to find similar ideas and things to buy. Brands pay to show ads among Pins in feeds and search results, and Pinterest also sells ads on streaming TV. It launched in 2010 and is based in San Francisco, California.

Company size
5,001-10,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2010

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