Research Engineer, Monetization AI
- Pay
- $183,997 – $257,000 per year
- Location
- Sunnyvale, CA · On-site
- Job type
- Full-time
- Level
- Mid-level
- Education
- Bachelor's degree
- Listed
- 29 days ago
Skills & highlights for this role
- machine learning
- recommender systems
- PyTorch
- Python
Also useful
- large-scale model training
- generative modeling
- sequence learning
- NeurIPS
Stated benefits & perks
- Bonus
- Equity
About the role
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- Research Engineer, Monetization AI
- Research Engineer, Monetization AI
- Sunnyvale, CA +2 locations
- Artificial Intelligence
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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.
Research Engineer, Monetization AI 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
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
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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.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
United States of America: $183,997/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.
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From Meta's careers page, first listed on Rolev.ai on October 12, 2026. Rolev.ai is not the employer.
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Common questions
What is the salary for the Research Engineer, Monetization AI role at Meta?
The Research Engineer, Monetization AI posting at Meta states compensation of $183,997 – $257,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Meta's official career site.
Where is the Research Engineer, Monetization AI job at Meta located?
This Research Engineer, Monetization AI position at Meta is located in Sunnyvale, CA (On-site). Always check Meta's application page for specific state eligibility or relocation policies.
What qualifications are required for Research Engineer, Monetization AI at Meta?
For the Research Engineer, Monetization AI role, Meta highlights a bachelor's degree; experience with machine learning, recommender systems, PyTorch, Python. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Research Engineer, Monetization AI position at Meta?
This listing links directly to Meta's application page. You can apply directly on Meta's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.