Staff Machine Learning Engineer, Ads Candidate Generation

Pinterest is seeking a Staff Machine Learning Engineer to join their Ads Candidate Generation team. This role is crucial in bridging the gap between Pinner aspirations and partner products. You'll lead the development of cutting-edge machine learning technology for Candidate Generators, managing billions of shopping ads and exploring advanced model architectures. The position involves working with large language models (LLMs), optimizing dynamic quota allocation, and implementing sequential transducers for generative recommendations.

The role offers an opportunity to work on state-of-the-art applied machine learning projects, developing GPU-based retrieval systems and unified models that leverage both organic and ad-related labels. You'll be part of Pinterest's mission to help people find inspiration and create a life they love, working in their positive corner of the internet.

The ideal candidate will bring strong technical expertise in machine learning, with experience in large-scale production recommendation systems. You'll need excellent leadership skills to guide projects and teams, along with strong mathematical and statistical knowledge. Experience in computational advertising, advanced retrieval modeling, and GPU optimization is valued but not required.

Pinterest offers a progressive work model called PinFlex, providing flexibility in living and working arrangements. The company is committed to creating an equitable and inclusive workplace, offering competitive compensation including base salary and equity. They value diverse perspectives and encourage applications from candidates with unique experiences and backgrounds.

Working at Pinterest means joining a mission-driven company that values innovation, collaboration, and impact. You'll be challenged to push boundaries in machine learning technology while directly contributing to improving the experience of millions of users worldwide.