How your CV stacks up
Upload your CV to see how well it fits this job role
?%
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 organization 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.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Responsibilities
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
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Minimum Qualifications
Currently has or is in the process of obtaining a PhD in Artificial Intelligence (AI), Computer Science, or a related technical field Experience developing machine learning algorithms or machine learning infrastructure in Python, PyTorch, and/or C/C++ Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use
Preferred Qualifications
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
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location