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Ai Monetization Jobs (NOW HIRING)

We are the Monetization Ranking and Foundational AI team, dedicated to delivering personalized ads that maximize both user utility and advertiser value. We focus on advancing AI, ML, and RecSys ...

We are the Monetization Ranking and Foundational AI team, dedicated to delivering personalized ads that maximize both user utility and advertiser value. We focus on advancing AI, ML, and RecSys ...

We are the Monetization Ranking and Foundational AI team, dedicated to delivering personalized ads that maximize both user utility and advertiser value. We focus on advancing AI, ML, and RecSys ...

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 ...

We are the Monetization Ranking and Foundational AI team, dedicated to delivering personalized ads that maximize both user utility and advertiser value. We focus on advancing AI, ML, and RecSys ...

We are the Monetization Ranking AI Research organization, dedicated to delivering personalized ads that maximize both user utility and advertiser value. We focus on advancing AI and ML technologies ...

We are the Monetization Ranking AI Research organization, dedicated to delivering personalized ads that maximize both user utility and advertiser value. We focus on advancing AI and ML technologies ...

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 ...

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Ai Monetization information

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How much do ai monetization jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for ai monetization in the United States is $20.85, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $24.04 per hour, depending on experience, location, and employer.

What is the difference between Ai Monetization vs Data Scientist?

AspectAi MonetizationData Scientist
Required CredentialsExperience in AI, machine learning, and business strategyDegree in Computer Science, Statistics, or related field; proficiency in programming and data analysis
Work EnvironmentTech companies, startups, or digital platforms focusing on AI productsResearch labs, tech firms, or consulting firms analyzing data for insights
Employer & Industry UsageBusinesses seeking to generate revenue from AI solutionsOrganizations analyzing data to inform decisions and develop models
Search & Comparison IntentUnderstanding monetization strategies for AIAnalyzing data to derive insights and build predictive models

Ai Monetization focuses on generating revenue from AI technologies and solutions, often involving strategic business models. Data Scientists analyze data to extract insights, build models, and support decision-making. While both roles require technical skills, Ai Monetization emphasizes business application and revenue strategies, whereas Data Scientists focus on data analysis and modeling.

More about Ai Monetization jobs
What cities are hiring for Ai Monetization jobs? Cities with the most Ai Monetization job openings:
What states have the most Ai Monetization jobs? States with the most job openings for Ai Monetization jobs include:
Infographic showing various Ai Monetization job openings in the United States as of May 2026, with employment types broken down into 4% Full Time, 95% Part Time, and 1% Temporary. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $43,363 per year, or $20.8 per hour.
Research Engineer, Monetization AI

Research Engineer, Monetization AI

Meta

Seattle, WA

$121K/yr

Full-time

Posted 10 days ago


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

120th of 186 rated software companies


Job description

We are the Monetization Ranking and Foundational AI team, 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
  • 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:
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Research experience in machine learning, deep learning, and/or recommender systems, natural language processing
  • Programming experience in Python and hands-on experience with frameworks such as PyTorch
  • Exposure to architectural patterns of large scale software applications

Preferred Qualifications:
  • Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • A PhD in AI, computer science, data science, or related technical fields
  • First author publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR, RecSys, SIGIR, KDD, WSDM, TheWebConf, ICDM, ACL, EMNLP, NAACL, AAAI, ICCV, CVPR)
  • Direct experience in generative AI, LLMs, RecSys, ML research
  • Experience with developing large-scale machine learning models from inception to business impact
  • 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

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.
$121,992/year to $181,000/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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