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Ai Research Scientist, Language - Monetization Genai

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Meta

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Location:
United States

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

184000.00 - 257000.00 USD / Year
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Job Description:

We are developing the GenAI models that power Meta's advertising ecosystem at scale. Our team operates at the cutting edge of LLM post-training & applications, creating systems that help millions of advertisers succeed while driving significant revenue gains. Our team works at the intersection of AI and Monetization, and we've launched multiple 0→1 GenAI advertising products. We handle the full LLM lifecycle: post-training, evaluation, deployment, and product launch.

Job Responsibility:

  • Improve content understanding and knowledge for GenAI-powered advertising
  • Leverage state-of-the-art multimodal LLMs and agentic models to extract, structure, and retrieve valuable signals that power ad creative generation and optimization
  • Pioneer the use of Reinforcement Learning from Human Feedback (RLHF) to post-train LLMs for real-world advertising performance
  • Develop RL post-training frameworks that use actual ads data to fine-tune LLMs to generate ad creatives that resonate with users

Requirements:

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Has obtained a PhD in Computer Science, AI/ML, or a relevant technical field
  • 2+ years of experience in NLP or multimodal LLM research and development
  • Hands-on experience LLM post-training and/or reinforcement learning (reward modeling, PPO/GRPO, RLHF)
  • Strong experience with ML tech stack (e.g., PyTorch, building data pipeline)
  • Experience leading major technical initiatives with cross-functional impact, and/or influencing strategy across multiple teams
  • Demonstrated significant industry influence in the field of AI and/or recently published research in leading peer-reviewed conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV)

Nice to have:

  • Ability to bridge modeling and production - turning novel research ideas into shipped products
  • First-author publications at top peer-reviewed conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV)
  • Background in ads systems
  • Experience with recommendation systems or ranking models
What we offer:
  • bonus
  • equity
  • benefits

Additional Information:

Job Posted:
April 24, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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