Staff Machine Learning Engineer, Monetization

Pinterest, a leading visual discovery platform, is seeking a Staff Machine Learning Engineer to join their Ads Performance team. This role focuses on connecting Pinners' aspirations with partners' products through advanced machine learning technology. The position involves developing cutting-edge ML solutions for Ads Ranking, including Candidate Generation, Lightweight Ranker, Engagement Modeling, and Conversion Modeling.

The role offers an opportunity to work on challenging problems like user sequence modeling, large models, embedding features, model quantization, utility alignment, and the application of LLM and multi-modal models. You'll be tackling domain-specific challenges such as next-gen lightweight ranking beyond two-tower architecture, quota allocation, new engagement type modeling, and RoAS optimization.

As a Staff ML Engineer, you'll be responsible for developing state-of-the-art applied machine learning projects, designing features for large-scale models, and working closely with product and sales teams. The position requires strong technical expertise, leadership experience, and excellent communication skills.

Pinterest offers a collaborative environment where you can make a significant impact on their advertising technology stack. The company provides competitive compensation and values diversity and inclusion. This role is perfect for someone passionate about applying ML to real-world advertising challenges at scale.