Machine Learning Engineer, Monetization Engineering

We are seeking a Machine Learning Engineer to join the Monetization ML Engineering team at Pinterest. As a Machine Learning Engineer, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

You will:

• 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
• Use data-driven methods and leverage the unique properties of our data to improve candidate 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
• 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
• Practical knowledge of large-scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems

Nice to have:

• Publications at top ML conferences
• Experience using Cursor, Copilot, Codex, or similar AI coding assistants
• Familiarity with LLM-powered productivity tools
• Expertise in scalable real-time systems that process stream data
• Passion for applied ML and the Pinterest product
• Background in computational advertising

The base salary range for this position is $163,418-$285,982 USD.