Research Engineer, Monetization AI

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 Rec Sys technologies for all aspects of Monetization, including ranking, retrieval, model architecture, and optimization. By consistently integrating cutting-edge AI/ML/Rec Sys 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/Rec Sys specialists to join our team and drive SOTA research and production across the Monetization organization.

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 Py Torch

* 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, Rec Sys, SIGIR, KDD, WSDM, The Web Conf , ICDM, ACL, EMNLP, NAACL, AAAI, ICCV, CVPR)

* Direct experience in generative AI, LLMs, Rec Sys, 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

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 Next Gen 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

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 Whats App 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.

Equal Employment Opportunity

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