The role is focused on developing and executing a vision for the machine learning technology stack within the Ads team at Pinterest. As a Machine Learning Engineer, you will work on building cutting-edge technology using deep learning and machine learning to personalize user experiences. You will collaborate with various teams to experiment and improve ML models across different product surfaces. This position offers the opportunity to work in a high-impact environment with quick experimentation and product launches.

• 2+ years of industry experience applying machine learning methods such as user modeling and personalization.
• Bachelor's degree in computer science, machine learning, statistics, or a related field.
• End-to-end hands-on experience with building data processing pipelines and large scale machine learning systems.
• Practical knowledge of large scale recommender systems or modern ads ranking and retrieval systems.

• Build cutting-edge technology using the latest advances in deep learning and machine learning.
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces.
• Use data-driven methods to improve candidate retrieval leveraging unique data properties.
• Keep up with industry trends in recommendation systems and leverage LLMs to enhance content understanding.