Be responsible for driving research and development for our core content, retrieval and ranking models, which form the foundation of our feed recommendation systems. You will manage the immense challenges of end-to-end Discover feed recommendations across content, ranking, retrieval and p13n.

Conduct applied research on novel modeling techniques to solve concrete challenges in content understanding, such as identifying nuanced topics, assessing content quality, and understanding UGC.

Collaborate with partner teams and cross-functional partners to integrate the content signals into production retrieval, ranking, and personalization systems.

Advance the in key recommendation domains in retrieval, ranking and content understanding.

Bachelor’s degree or equivalent practical experience.

8 years of experience with software development in one or more programming languages.

7 years of experience testing, maintaining or launching software products, and 1 year of experience with software design and architecture.

7 years of experience with AI/ML algorithms and tools, deep learning and AI/ML modeling.

Experience building and deploying recommendation systems models (e.g., retrieval, prediction, ranking, personalization, search quality, embedding) in production.