Machine Learning Engineer, Monetization Engineering

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.

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

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, 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
• 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