Core Delivery Products is the Ads pillar that builds the products that power the core capabilities of our ads system: from targeting, to bidding, optimization, and user quality. The team has a strong and long-standing track record of making critical contributions to company top line goals with most of Meta revenue flowing through these core systems, and our year on year improvements continuing to drive significant top-line impact. In EMEA, we have 3 complete sub-pillars operating with high autonomy: Targeting, Core Ads Quality, & Direct Response Optimization. All the sub-pillars are responsible for growing revenue, machine learning product solutions end to end, alongside the reliability and stability of these core products. All have their cross functional teams co-located with them.

Senior Software Specialist - AI/ML - Monetisation 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 advance AI capabilities through novel methods, tools, and infrastructure
  
  

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
• Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use
• Track record delivering successful products with large scale impact
  
  

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

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.