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 or related 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

About Meta

Meta builds technologies that help people connect find communities grow businesses. When Facebook launched in 2004 it changed the way people connect. Apps like Messenger Instagram WhatsApp further empowered billions around the world. Now Meta is moving beyond 2D screens toward immersive experiences like augmented virtual reality to help build 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 constraints of screens limits of distance even rules of physics. For those who live in or expect to work from California if hired for this position please click here for additional information. $88.46/hour to $257000/year + bonus + equity + benefits Individual compensation is determined by skills qualifications experience location Compensation details listed reflect base hourly rate monthly rate or annual salary only do not include bonus equity sales incentives if applicable In addition to base compensation Meta offers benefits Learn more about benefits at Meta. Equal Employment Opportunity Meta 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 related medical conditions sexual orientation gender identity gender expression age status as protected veteran status as individual with disability genetic information political views 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 disabled veterans in our job application procedures If you need assistance accommodation due disability fill out Accommodations request form Apply for this job Take first step toward rewarding career at Meta.