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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:
Apply relevant AI and machine learning techniques to build Ads auction/user behaviour treatments
Develop novel, accurate AI algorithms and advanced systems for large scale applications
Work towards long-term ambitious production goals, while identifying intermediate milestones
Directly contribute to experiments, including designing experimental details, developing reusable code, running evaluations, and organizing results
Work with large data, and contribute to development of large scale foundation models
Design methods, tools, and infrastructure to push forward the state of the art in AI
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
Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use
Track record delivering successful products with large scale impact
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