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As a Machine Learning Engineer in Monetization Engineering, you will develop and execute a vision for the machine learning technology stack within Ads, utilizing deep learning and machine learning to enhance personalization. Collaborate with teams to improve ML models across various product surfaces, work with data driven methods to enhance retrieval, and stay abreast of industry trends.

You will lead the evolution of the Ads ML foundation to scale Pinterest revenue and improve ad performance using cutting-edge ML technologies. You'll tackle ambiguous problems and build innovative solutions for large-scale ML infrastructure systems.

The Staff Software Engineer will re-architect and modernize core catalog and ads infrastructure for scalability and performance. Responsibilities include enhancing the ML ecosystem, collaborating with cross-functional teams, and mentoring engineers.

Lead the Ads Retrieval and Targeting Infra team to modernize and scale Pinterest's ad infrastructure. Define and execute technical strategies while mentoring junior engineers and collaborating with cross-functional teams to improve performance and scalability of ad retrieval systems.

The Staff Machine Learning Engineer will lead the development of advanced machine learning models for the Ads Ranking team at Pinterest. Responsibilities include designing large-scale models, inferring user interests, and improving ad action predictions, while collaborating with product and sales teams.

As a Sr. Machine Learning Engineer, you will develop cutting-edge technologies using advanced machine learning techniques to enhance user experiences on Pinterest. Collaborating with cross-functional teams, you'll improve models and contribute to large-scale recommendation systems, while leveraging data and keeping up with industry trends.

The role involves end-to-end ownership of data products, conducting strategic analysis, improving decision-making using data science techniques, developing metrics for success, and providing leadership and mentoring to other data scientists. The focus is on enhancing Pinterest’s strategy in the Ads space through data-driven insights and analysis.