Research Engineer, Core ML - Monetization AI

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
Senior Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS

Description For Research Engineer, Core ML - Monetization AI

Meta's Monetization Ranking AI Research organization is at the forefront of delivering personalized advertising solutions that maximize both user utility and advertiser value. As a Research Engineer in the Core ML - Monetization AI team, you'll be part of a dynamic group dedicated to advancing AI and ML technologies across all aspects of Monetization, including ranking, retrieval, model architecture, and optimization.

The role combines cutting-edge research with practical implementation, focusing on developing large-scale model architectures and applying advanced techniques in deep learning, reinforcement learning, and natural language processing. You'll work on challenging problems involving model scaling, transfer learning, and next-generation sequence learning techniques.

The position offers an opportunity to make significant impact, as the team's innovations have contributed tens of billions in revenue through consistent integration of AI/ML advancements. You'll collaborate with cross-functional teams, applying expertise in hardware-software co-design, including quantization, compression, and resource-efficient AI.

The ideal candidate should have strong research experience in deep learning or related areas, programming proficiency in Python, and hands-on experience with frameworks like PyTorch. A background in academic or industry research is required, with preferred qualifications including an advanced degree and publications at top AI conferences.

Meta offers a competitive compensation package including base salary ranging from $56,250 to $173,000 annually, plus bonus and equity opportunities. The company provides comprehensive benefits and a collaborative environment where you can work on meaningful problems while advancing the state of the art in AI research and applications.

Last updated 17 minutes ago

Responsibilities For Research Engineer, Core ML - Monetization AI

  • Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques
  • Prioritize training scalability and signal scaling to optimize model performance
  • Develop and apply NextGen sequence learning techniques
  • 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, Core ML - Monetization AI

Python
  • Research experience in deep learning, reinforcement learning, NLP, computer vision, or related areas
  • Experience holding an industry, faculty, or government researcher position
  • Programming experience in Python and hands-on experience with frameworks such as PyTorch
  • Must obtain work authorization in country of employment
  • Bachelor's degree in Computer Science, Computer Engineering, or relevant technical field

Benefits For Research Engineer, Core ML - Monetization AI

Medical Insurance
Equity
  • Competitive salary
  • Bonus
  • Equity
  • Comprehensive benefits package

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