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Pinterest Engineering · 5 months ago

Sr. Machine Learning Engineer, Monetization Engineering

San Francisco, CA, US

Full-time

Onsite

Entry, Mid Level

$177K/yr - $310K/yr

2+ years exp

Pinterest is a platform where millions find creative ideas and plan memorable experiences. They are seeking a Sr. Machine Learning Engineer to develop and execute a vision for the machine learning technology stack within Ads, focusing on personalization and improving ML models across various product surfaces.

Computer Software

No H1B

U.S. Citizen Only

Responsibilities

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 systems

Leverage LLMs to enhance content understanding

Qualification

Machine LearningDeep LearningData Processing PipelinesRecommender SystemsNatural Language ProcessingBig Data TechnologiesGraph Representation LearningPassion for MLTeam Collaboration

Required

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)

Degree in computer science, statistics, or related field

End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)

Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems