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Research Engineer, Monetization AI (PhD)

Meta builds technologies that help people connect, find communities, and grow businesses, including Facebook, Messenger, Instagram, WhatsApp, and AR/VR experiences.
$56,250 - $173,000
Machine Learning
Staff Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS
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Description For Research Engineer, Monetization AI (PhD)

Meta's Monetization Ranking AI Research organization is at the forefront of developing personalized advertising solutions that optimize both user experience and advertiser value. This role offers an opportunity to work on cutting-edge AI and ML technologies that directly impact Meta's core business, contributing to projects that have generated billions in revenue.

As a Research Engineer in Monetization AI, you'll be working on advanced machine learning challenges, including large-scale model architectures, NextGen sequence learning, and reinforcement learning applications. The position requires expertise in developing and implementing sophisticated AI solutions that can scale across Meta's massive platform.

The role combines theoretical research with practical implementation, requiring both deep technical knowledge and the ability to collaborate with cross-functional teams. You'll be working on projects that push the boundaries of AI technology in areas such as natural language processing, generative modeling, and causal learning.

Meta offers a competitive compensation package including salary, bonus, equity, and comprehensive benefits. The work environment promotes innovation and collaboration, with access to state-of-the-art resources and the opportunity to work alongside leading experts in AI research.

This position is ideal for candidates with a PhD in Computer Science or related fields, strong research background, and practical experience in implementing AI solutions. You'll have the chance to contribute to groundbreaking research while seeing your work deployed at scale across Meta's family of apps and technologies.

Last updated 2 months ago

Responsibilities For Research Engineer, Monetization AI (PhD)

  • Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques
  • Prioritize training scalability and signal scaling to optimize model performance, efficiency, and reliability
  • Develop and apply NextGen sequence learning techniques for natural language processing
  • Design and implement generative modeling solutions for data augmentation
  • Research and develop graph-aware large language models
  • Develop and deploy AutoML pipelines
  • Apply Reinforcement Learning techniques
  • Use causal learning to identify relationships across data
  • Collaborate with cross-functional teams to design and optimize ML systems
  • Develop innovative solutions for data-related challenges

Requirements For Research Engineer, Monetization AI (PhD)

Python
  • PhD degree in Computer Science, Computer Engineering, AI, Machine Learning, or relevant technical field
  • Research experience in deep learning, reinforcement learning, NLP, computer vision, recommendations, or related areas
  • Programming experience in Python and hands-on experience with frameworks such as PyTorch
  • Must obtain work authorization in country of employment

Benefits For Research Engineer, Monetization AI (PhD)

Medical Insurance
Equity
  • Competitive salary
  • Bonus
  • Equity
  • Benefits package

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