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PhD University Grad Machine Learning Engineer (USA)
Summary by AIEngineer.careers
PhD University Grad Machine Learning Engineer (USA) is a Machine Learning Engineer role (full-time). with Pinterest. in SEATTLE, US. Compensation shown: $174K–$229K. Imported listing (source: justjobs.com). Apply on the employer's site (justjobs.com).
Imported listing (source: justjobs.com) · Apply on justjobs.com
SEATTLE · US
$174K–$229K
Full-time
JUNIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from justjobs.com
Pinterest is hiring PhD university graduates as Machine Learning Engineers across multiple ML teams, based near its Seattle office. You will work on large-scale problems in recommender systems, search, ads, ranking, NLP, and graph representation learning for a platform serving 640M+ users. The role blends cutting-edge ML research with building production models for content recommendations and engagement prediction, with a strong emphasis on AI-native, agent-first engineering practices.
Responsibilities
- Contribute to cutting-edge machine learning and AI research applied to Pinterest's product problems
- Collect, analyze, and synthesize data to build intelligent, data-driven models
- Use ML, NLP, and graph analysis to solve modeling and ranking problems across discovery, ads, and search
- Design, build, and test models that predict engagement for push, email, and in-app notifications
- Build content recommendation systems powering Pinterest's notification surfaces
- Work on state-of-the-art, large-scale applied machine learning projects
Requirements
- PhD in Computer Science, ML, NLP, Statistics, Information Sciences, or a related field
- Machine learning experience (ranking, computer vision, NLP, content recommendations, embeddings, information retrieval)
San Francisco · US · 4666+ employees
Pinterest is a visual search and discovery platform that allows users to find inspiration, curate ideas, and shop products on digital pinboards. It operates as a public social media company.
