Machine Learning Engineer II

🔥 1 minute ago

🏄 California – Remote

🏄 California – Remote

💵 $215.3k - $286k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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Pinterest

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2010

📱 Media

👥 B2C

💰 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.

📋 Description

• Build cutting-edge technology using advances in deep learning and machine learning to personalize Pinterest • Partner with teams across Pinterest to experiment with and improve ML models for Homefeed, Ads, Growth, Shopping, and Search • Use data-driven methods and Pinterest’s data properties to improve candidate retrieval • Work in a high-impact environment with rapid experimentation and product launches • Keep up with industry trends in recommendation systems • Leverage LLMs to enhance content understanding

🎯 Requirements

• Master’s degree (or foreign degree equivalent) in Computer Science, Data Science, Business Analytics, Engineering (any field), or a closely related quantitative discipline • Three (3) years of experience in the job offered or a related occupation • Two years of experience in User Modeling • Two years of experience in Personalization • Two years of experience in Recommender Systems • Two years of experience in Search and Ranking • Two years of experience in Natural language processing • Two years of experience in Reinforcement Learning • Two years of experience in Graph Representation Learning • Two years of hands-on experience building data processing pipelines • Two years of experience with Hadoop and Spark • Two years of experience in Retrieval Targeting • Two years of experience using the latest advances in deep learning and machine learning • Two years of experience improving ML models for various product surfaces • Any suitable combination of education, training and experience is acceptable • US-based applicants only

🏖️ Benefits

• Equity eligibility • Full-time telecommuting option • Flexible work arrangements • Equal opportunity and legally compliant employment consideration • Medical or religious accommodation support during the application process