Senior Machine Learning Engineer

🔥 1 minute ago

🏄 California – Remote

🏄 California – Remote

💵 $246.9k - $332k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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👻 Ghost score 0%

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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 machine learning models for Homefeed, Ads, Growth, Shopping, and Search • Use data-driven methods and unique 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

🎯 Requirements

• PhD (or foreign equivalent) in Computer Science, Software Engineering, or closely related quantitative discipline • Two years of experience in the job offered, or at least one year of experience in the job offered or in a software engineer/machine learning engineer-related position • At least one year of experience using Java for developing scalable, high-performance backend services that power real-time recommendation pipelines • At least one year of experience experimenting and improving machine learning models • At least one year of experience with development and optimization of large scale recommendation algorithms • At least one year of experience applying Natural Language Processing to recommendation systems • Python • Solving analytical problems using quantitative approaches • Adapting standard machine learning methods to modern parallel environments: distributed clusters, multicore SMP, or GPU • Algorithms and data structures • Signal processing • Data mining • Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources • US-based applicants only

🏖️ Benefits

• Equity eligibility • Flexible work arrangements • Telecommuting and/or remote employment permitted