Software Specialist (TL) - AI/ML - Monetisation

Ads is the largest revenue generator at Meta and Ads Quality represents around 20% of total revenues which are used to generate long term ads and organic engagement. Core Ads Quality is a unique team jointly optimizing for both quality and revenue, aiming at making this investment more revenue / quality trade-off efficient and generate long term revenue growth through user learning. Among others, Core Ads Quality focuses on: * Finding the right trade-off between short and long term revenues * Standardising and optimise quality treatment of ads across surfaces and page types * Understanding user behaviour with respect to ads quality * Building a solid infrastructure around signals, labels and quality metrics We work at the intersection of Ads, Machine Learning and User Behaviour understanding. The nature of our work is very analytical, with a solid collaboration with our Data Scientist and a heavy focus on not only understand “what” but also “why”. Despite having been created a couple of years ago, the Ads Quality space at Meta is still nascent and full of unexploited opportunities. The org is further structured into the following teams/sub-pillars: * Integrity & Efficiency: Proactively cover long-term revenue risks from advertiser friction while supporting XI with delivery expertise. * Ads Conversion Familiarity: Accelerate Non-Purchaser (NP) -> Purchaser (P) transition by increasing familiarity of ads for users who don't interact with ads frequently * Post-Click Quality: Stop Purchaser (P) - >Non purchaser (NP) user conversions from bad purchase experiences. * Modelling: Enhance quality and drive long-term revenue growth through modelling. * Quality Science: Build the foundational end to end understanding for funnel quality signals to ensure its the efficiency, health and coverage. The team has consistently hit their goals and delivered XXXM$ in incremental long term revenue for Meta while ensuring high ads quality.