Apply on Employer Site

Pinterest · 6 hours ago

Machine Learning Engineer, Monetization Engineering

United States

Full-time

Remote

Entry, Mid Level

$163K/yr - $286K/yr

2+ years exp

Pinterest is a platform where millions of people find creative ideas and plan memories. The Machine Learning Engineer in Monetization Engineering will develop and execute a vision for the evolution of the machine learning technology stack within Ads, focusing on building personalized experiences and improving ML models across various product surfaces.

InternetSocial BookmarkingSocial MediaSocial NetworkSoftware

Comp. & Benefits

No H1B

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 TechnologiesPassion 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, machine learning, 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