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Senior Software Specialist - AI/ML - Monetisation

United Kingdom, London · Job Posted March 01, 2026
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Job Description

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

  • 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

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
  • Proven track record of planning multi-year roadmap 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

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

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