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Staff Software Specialist - AI - Monetisation

London · OnsitePosted 6 days ago
Software engineeringStaff+
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Staff Software Specialist - AI - Monetisation

London, UK

Artificial Intelligence

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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. Among others, Core Ads Quality focuses on:

\* Finding the right trade-off between short and long term revenues \* Standardizing and optimizing quality treatment of ads across surfaces and page types \* Understanding user behavior 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 Behavior understanding. The nature of our work is very analytical, involving 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 cross-functional teams 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) to Non-Purchaser (NP) user conversions from bad purchase experiences. \* Modeling: Enhance quality and drive long-term revenue growth through modeling. \* Quality Science: Build the foundational end to end understanding for funnel quality signals to ensure 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.


Staff Software Specialist - AI - Monetisation Responsibilities

Work on meaningful technical (ML and infra) problems at Meta’s scale affecting multiple surfaces (Facebook, Instagram, Threads,...) Fundamentally change how decisions are made across the business when investing on ads quality Develop novel, accurate AI algorithms and advanced systems for large scale applications Define long-term plans and lead teams on executing them Improve the experience of users interacting with ads and help the company mission to establish valuable connections between users and businesses Lead projects with clear top-line metric impact Ensure Ads Quality is at the forefront of AI technologies

Minimum Qualifications

Bachelor's degree 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 Experience developing machine learning algorithms or machine learning infrastructure in Python, PyTorch, and/or C/C++ Track record delivering successful products with large scale impact

Preferred Qualifications

Experience in User Behaviour modeling, Long-term Value optimization or Causal Learning Experience in Reinforcement Learning, GenAI, Large Language Models, etc PhD in Artificial Intelligence (AI), computer science, related technical fields, or equivalent practical experience Experience in Ads, especially in auction theory and implementation (bidding, budgeting, targeting)


About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Equal Employment Opportunity

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.


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