AI Research Scientist, Language - Monetization GenAI

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.

AI Research Scientist, Language - Monetization GenAI Responsibilities:

• 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
  
  

Minimum Qualifications:

• 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)
  
  

Preferred Qualifications:

• 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
  
  

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.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

$184,000/year to $257,000/year bonus equity benefits

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.