Software Specialist (TL) - AI/ML - Monetisation at Meta
United Kingdom
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.<br/><br/>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:<br/><br/>* Finding the right trade-off between short and long term revenues<br/>* Standardising and optimise quality treatment of ads across surfaces and page types<br/>* Understanding user behaviour with respect to ads quality<br/>* Building a solid infrastructure around signals, labels and quality metrics<br/><br/>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:<br/><br/>* Integrity & Efficiency: Proactively cover long-term revenue risks from advertiser friction while supporting XI with delivery expertise.<br/>* Ads Conversion Familiarity: Accelerate Non-Purchaser (NP) -> Purchaser (P) transition by increasing familiarity of ads for users who don't interact with ads frequently<br/>* Post-Click Quality: Stop Purchaser (P) - >Non purchaser (NP) user conversions from bad purchase experiences.<br/>* Modelling: Enhance quality and drive long-term revenue growth through modelling.<br/>* Quality Science: Build the foundational end to end understanding for funnel quality signals to ensure its the efficiency, health and coverage.<br/><br/>The team has consistently hit their goals and delivered XXXM$ in incremental long term revenue for Meta while ensuring high ads quality.<br/><br/><strong>Responsibilities</strong><br/>Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient<br/>* Effectively communicate complex features and systems in detail<br/>* Understand industry and company-wide trends to help assess & develop new technologies<br/>* Partner and collaborate with organization leaders to help improve the level of performance of the team and organization<br/>* Identify new opportunities for the larger organization and influence the appropriate people for staffing/prioritizing these new ideas<br/>* Lead long term technical strategy and roadmap for large cross-company efforts<br/>* Suggest, collect and synthesize requirements and create an effective feature and technology roadmap<br/><br/><strong>Qualifications</strong><br/>Experience developing machine learning algorithms or machine learning infrastructure in Python, PyTorch, and/or C/C++<br/>* Bachelor in Artificial Intelligence (AI), computer science, related technical fields, or equivalent practical experience<br/>* Experience in bringing research results into production<br/>* Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term mission<br/>* Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions<br/>* xperience communicating and working across functions to drive solutions<br/>* Experience in manipulating and analyzing complex, high-volume data from varying sources<br/>* Large experience with machine learning / AI technologies PhD in Artificial Intelligence (AI), computer science, related technical fields, or equivalent practical experience<br/>* Experience in Reinforcement Learning, GenAI, Large Language Models, etc<br/>* Experience in Ads, especially in auction theory and implementation (bidding, budgeting, targeting)<br/>* Experience in User Behaviour modellling, Long-term Value optimization or Causal Learning
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