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Machine Learning Engineer II

Pinterest•United States•🌍 Remote
Full-time3-7
$215K - $286K
per year
👁️ 0 views•📝 0 applications•Posted 10/12/2026•Expires 12/11/2026
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Job Description

About Pinterest : Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime.

At Pinterest , we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

Job Duties: 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. Keep up with industry trends in recommendation system. Leverage LLMs to enhance content understanding. Full-time telecommuting is an option.

Minimum Requirements: Master’s degree (or its foreign degree equivalent) in Computer Science, Data Science, Business Analytics, Engineering (any field), or closely related quantitative discipline and three (3) years of experience in the job offered or in any occupation in related field.

Special Skill Requirements: Two years of experience in the following: (1) User Modeling; (2) Personalization; (3) Recommender Systems; (4) Search and Ranking; (5) Natural language processing; (6) Reinforcement Learning; (7) Graph Representation Learning; (8) Hands-on experience with building data processing pipelines; (9) Hadoop and Spark; (10) Retrieval Targeting; (11) Experience working using latest advances in with deep learning and machine learning; and (12) E

Required Skills

User ModelingPersonalizationRecommender SystemsSearch and RankingNatural Language ProcessingReinforcement LearningGraph Representation LearningData Processing PipelinesHadoopSparkRetrieval TargetingDeep LearningMachine Learning

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