1h ago

Machine Learning Engineer, Monetization Engineering

San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US
full-timemid Hybridtechnology

Tech Stack

Description

You will develop and execute a vision for the evolution of the machine learning technology stack within Ads, building cutting-edge technology using deep learning and machine learning to personalize Pinterest and connect Pinners with partners.

Requirements

  • 2+ years industry experience applying ML methods
  • Degree in computer science, machine learning, statistics, or related field
  • End-to-end hands-on experience with data processing pipelines, large scale ML systems, and big data technologies
  • Practical knowledge of large scale recommender systems or modern ads ranking, retrieval, targeting, marketplace systems
  • Nice to have: publications at top ML conferences or experience with AI coding assistants

Responsibilities

  • Build cutting edge technology using latest advances in deep learning and machine learning to personalize Pinterest
  • Partner with teams to improve ML models for various product surfaces
  • Use data driven methods and leverage data properties to improve candidate retrieval
  • Work in high-impact environment with quick experimentation and product launches
  • Leverage LLMs to enhance content understanding
0 views 0 saves 0 applications