Research Engineer, Monetization AI

Summary: 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 Metau2019s products achieve long-term goals and have contributed tens of billions in revenue. With our growing impact, weu2019re seeking AI/ML/RecSys specialists to join our team and drive SOTA research and production across the Monetization organization. Required Skills: Research Engineer, Monetization AI Responsibilities: 1. Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques 2. Prioritize training scalability and signal scaling to optimize model performance, efficiency, and reliability 3. Develop and apply NextGen sequence learning techniques to drive advancements in recommender systems and machine learning 4. Design and implement generative modeling solutions for data augmentation 5. Develop and deploy machine learning pipelines 6. 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: Minimum Qualifications: 7. Research experience in machine learning, deep learning, and/or recommender systems, natural language processing 8. Programming experience in Python and hands-on experience with frameworks such as PyTorch 9. Exposure to architectural patterns of large scale software applications Preferred Qualifications: Preferred Qualifications: 10. Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. A PhD in AI, computer science, data science, or related technical fields 12. 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) 13. Direct experience in generative AI, LLMs, RecSys, ML research 14. Experience with developing large-scale machine learning models from inception to business impact Public Compensation: $58.65/hour to $181,000/year + bonus + equity + benefits Industry: Internet Equal Opportunity: 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 .

Created: 2026-03-23