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Senior Software Specialist - AI/ML - Ads

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Meta

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Location:
Switzerland , Zurich

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Contract Type:
Not provided

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Salary:

Not provided

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:

  • 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 push forward the state of the art in AI

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
  • Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use
  • 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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