
1001 - 5000 employees
Founded 2010
📱 Media
👥 B2C
đź’° Post IPO equity on 2022-08
Media • B2C
Pinterest is a visual discovery and bookmarking platform that helps users discover, save, and organize images and ideas (Pins) for interests, projects, and shopping. It provides personalized recommendations and visual search so people can plan and explore topics like home design, fashion, recipes, and events, and it supports commerce features and ads for creators and retailers.
đź•’ December 1, 2025
🏄 California – Remote
đź’µ $129.8k - $267.3k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
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1001 - 5000 employees
Founded 2010
📱 Media
👥 B2C
đź’° Post IPO equity on 2022-08
Media • B2C
Pinterest is a visual discovery and bookmarking platform that helps users discover, save, and organize images and ideas (Pins) for interests, projects, and shopping. It provides personalized recommendations and visual search so people can plan and explore topics like home design, fashion, recipes, and events, and it supports commerce features and ads for creators and retailers.
• 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
• 2+ 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) • Degree in computer science, machine learning, statistics, or related field • M.S. or PhD in Machine Learning or related areas (Nice to have) • Publications at top ML conferences (Nice to have) • Expertise in scalable realtime systems that process stream data (Nice to have)
• Equity options • Health insurance • Flexible work arrangements • Professional development
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