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Research Engineer, Monetization AI

Meta
New York, NY$400k–$800kPosted Jul 23, 2026
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Research Engineer, Monetization AI

Meta New York, NY

Research Engineer, Monetization AI

Meta New York, NY 1 week ago 48 applicants

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Meta provided pay range

This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$183,997.00/yr - $257,000.00/yr 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

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.

$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.

  • Seniority level

    Not Applicable

  • Employment type

    Full-time

  • Job function

    Engineering and Information Technology

  • Industries

    Technology, Information and Internet

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