Software Specialist, AI/ML Monetisation

Overview of the Software Specialist, AI/ML Monetisation Role at Meta

This Software Specialist, AI/ML Monetisation role at Meta focuses on optimizing Ads Quality, a critical component of Meta's revenue strategy. Ads is the largest revenue generator at Meta, and Ads Quality contributes around 20% of total revenues. These revenues are strategically used to generate long-term ad and organic engagement. The Core Ads Quality team is unique in its mission to jointly optimize for both quality and revenue, striving to make this investment more revenue/quality trade-off efficient and to generate long-term revenue growth through user learning.

Among other key areas, Core Ads Quality focuses on:

• Finding the right trade-off between short and long-term revenues
• Standardizing and optimizing the quality treatment of ads across various 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 highly analytical, involving solid collaboration with our Data Scientists and a heavy focus on understanding not only “what” but also “why.” Despite being 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) to 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.
• 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 efficiency, health, and coverage.

The team has consistently met their goals and delivered significant incremental long-term revenue for Meta while ensuring high ads quality.

Software Specialist, AI/ML Monetisation Responsibilities

• 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.

Minimum Qualifications

• Experience developing machine learning algorithms or machine learning infrastructure in Python, PyTorch, and/or C/C++.
• Bachelor's degree 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 roadmaps 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.

Preferred Qualifications

• 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 Behavior modelling, Long-term Value optimization, or Causal Learning.

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.

Key skills/competency

• Artificial Intelligence (AI)
• Machine Learning (ML)
• Monetisation Strategy
• Ads Quality Optimization
• Python Programming
• PyTorch Framework
• C/C++ Development
• User Behavior Understanding
• Data Analysis
• Technical Roadmapping
• Reinforcement Learning
• Generative AI (GenAI)
• Large Language Models (LLM)
• Auction Theory
• Cross-functional Collaboration