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 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.Minimum QualificationsCurrently 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 MetaBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experienceResearch experience in machine learning, deep learning, and/or recommender systems, natural language processingProgramming experience in Python and hands-on experience with frameworks such as PyTorchExposure to architectural patterns of large scale software applicationsPreferred QualificationsMaster's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experienceA PhD in AI, computer science, data science, or related technical fieldsFirst 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 researchExperience with developing large-scale machine learning models from inception to business impactResponsibilitiesDevelop and implement large-scale model architectures, leveraging model scaling and transfer learning techniquesPrioritize training scalability and signal scaling to optimize model performance, efficiency, and reliabilityDevelop and apply NextGen sequence learning techniques to drive advancements in recommender systems and machine learningDesign and implement generative modeling solutions for data augmentationDevelop and deploy machine learning pipelinesDevelop 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 modelsAbout MetaMeta 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.Equal Employment OpportunityMeta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.