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Staff Software Specialist - AI/ML - Monetisation

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Meta

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Location:
Switzerland , Zurich

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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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:

  • 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 user 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

Requirements:

  • Bachelor 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

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

Additional Information:

Job Posted:
January 23, 2026

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