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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.
Job Responsibility:
Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient
Effectively communicate complex features and systems in detail
Understand industry and company-wide trends to help assess & develop new technologies
Partner and collaborate with organization leaders to help improve the level of performance of the team and organization
Identify new opportunities for the larger organization and influence the appropriate people for staffing/prioritizing these new ideas
Lead long term technical strategy and roadmap for large cross-company efforts
Suggest, collect and synthesize requirements and create an effective feature and technology roadmap
Requirements:
Experience developing machine learning algorithms or machine learning infrastructure in Python, PyTorch, and/or C/C++
Bachelor in Artificial Intelligence (AI), computer science, related technical fields, or equivalent practical experience
Experience in bringing research results into production
Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term mission
Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
Experience communicating and working across functions to drive solutions
Experience in manipulating and analyzing complex, high-volume data from varying sources
Large experience with machine learning / AI technologies
Nice to have:
PhD in Artificial Intelligence (AI), computer science, related technical fields, or equivalent practical experience
Experience in Reinforcement Learning, GenAI, Large Language Models, etc
Experience in Ads, especially in auction theory and implementation (bidding, budgeting, targeting)
Experience in User Behaviour modellling, Long-term Value optimization or Causal Learning