Research Engineer, Monetization AI
full-time•Sunnyvale•$8k - $257k
About this role
We are the Monetization Ranking and Foundational AI organization, dedicated to delivering personalized ads that maximize both user utility and advertiser value. We focus on advancing AI, ML and RecSys technologies for all aspects of Monetization, including ranking, retrieval, model architecture, and optimization. By consistently integrating cutting-edge AI/ML/RecSys advancements, we help Meta’s products achieve long-term goals and have contributed tens of billions in revenue. With our growing impact, we’re seeking AI/ML/RecSys specialists to join our team and drive SOTA research and production across the Monetization organization.
$88.46/hour to $257,000/year + bonus + equity + benefits
Responsibilities
- 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 to drive advancements in recommender systems and machine learning
- Design and implement generative modeling solutions for data augmentation
- Develop and deploy machine learning pipelines
- Collaborate with cross-functional teams to design and optimize ML systems, leveraging expertise in hardware-software co-design, including quantization, compression, and resource-efficient AI, to drive performance improvements and efficiency gains
- Develop and implement innovative solutions for data-related challenges, utilizing knowledge of semi/self-supervised learning, generative techniques, sampling, debiasing, domain adaptation, continual learning, data augmentation, cold-start, content understanding, and large language models
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Research experience in machine learning, deep learning, natural language processing, and/or recommender systems
- Experience with developing machine learning models at scale from inception to business impact
- Programming experience in Python and hands-on experience with frameworks such as PyTorch
- Exposure to architectural patterns of large scale software applications
Preferred Qualifications
- PhD in AI, Computer Science, Data Science, or related technical fields
- Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- First author publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR, ICCV, CVPR, ACL, EMNLP, RecSys, KDD, WSDM, TheWebConf, ICDM, AAAI)
- Direct experience in generative AI, LLMs, RecSys, ML research
$88.46/hour to $257,000/year + bonus + equity + benefits
What you'll do
- The role involves developing and implementing large-scale model architectures and optimizing machine learning systems. Collaboration with cross-functional teams is essential to drive performance improvements and efficiency gains.
About Meta
Meta's mission is to build the future of human connection and the technology that makes it possible.
Our technologies 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.
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Frequently Asked Questions
What does Meta pay for a Research Engineer, Monetization AI?
Meta offers a competitive compensation package for the Research Engineer, Monetization AI role. The salary range is USD 9k - 257k per year. Apply through Clera to learn more about the full compensation details.
What does a Research Engineer, Monetization AI do at Meta?
As a Research Engineer, Monetization AI at Meta, you will: the role involves developing and implementing large-scale model architectures and optimizing machine learning systems. Collaboration with cross-functional teams is essential to drive performance improvements and efficiency gains..
Is the Research Engineer, Monetization AI position at Meta remote?
The Research Engineer, Monetization AI position at Meta is based in Sunnyvale, California, United States. Contact the company through Clera for specific work arrangement details.
How do I apply for the Research Engineer, Monetization AI position at Meta?
You can apply for the Research Engineer, Monetization AI position at Meta directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.