Machine Learning Engineer, Monetization Engineering

Pinterest - San Francisco, CA

Full-time - Mid Level

San Francisco, CA

1,001-5,000 employees

Professional, Scientific, and Technical Services

About the position

The Machine Learning Engineer in Monetization Engineering at Pinterest is responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads. This role involves building cutting-edge technology using the latest advances in deep learning and machine learning to personalize user experiences on Pinterest, particularly in the context of advertisements. The engineer will collaborate with various teams to experiment and improve machine learning models across different product surfaces, leveraging data-driven methods to enhance candidate retrieval and keep up with industry trends in recommendation systems.

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 (feed, Ads, Growth, Shopping, and Search).
• 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.

Requirements

• 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.

Nice-to-haves

• M.S. or PhD in Machine Learning or related areas.
• Publications at top ML conferences.
• Expertise in scalable realtime systems that process stream data.
• Passion for applied ML and the Pinterest product.
• Background in computational advertising.

Benefits

• Equity eligibility based on position and experience.
• Base salary range of $122,887—$253,692 USD.