<p>We are the Monetization Ranking AI Research organization, dedicated to delivering personalized ads that maximize both user utility and advertiser value. We focus on advancing AI and ML technologies for all aspects of Monetization, including ranking, retrieval, model architecture, and optimization. By consistently integrating cutting-edge AI/ML 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 motivated AI specialists to join our team and drive SOTA research across the Monetization organization.</p> <p>Minimum Qualifications</p> <ul> <li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience </li><li>2+ years of experience holding an industry, faculty, or government researcher or applied researcher position, or related position </li><li>Research experience in deep learning, reinforcement learning, natural language processing, computer vision, recommendations, ranking, search, or related areas </li><li>Programming experience in Python and hands-on experience with frameworks such as PyTorch </li><li>Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment </li></ul> <p>Preferred Qualifications</p> <ul> <li>Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward. </li><li>Experience working and communicating cross functionally in a team environment. </li><li>First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ACL). </li><li>Master's degree or PhD in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or relevant technical field. </li><li>Experience taking ideas from research to production. </li><li>Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) </li><li>Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) </li><li>Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies </li></ul> <p>Responsibilities</p> <ul> <li>Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques </li><li>Prioritize training scalability and signal scaling to optimize model performance, efficiency, and reliability </li><li>Develop and apply NextGen sequence learning techniques to drive advancements in natural language processing and understanding </li><li>Design and implement generative modeling solutions for data augmentation </li><li>Research and develop graph-aware large language models </li><li>Develop and deploy AutoML pipelines </li><li>Apply Reinforcement Learning (RL) techniques, including long-term value optimization, RLHF, and RL4Reason </li><li>Use causal learning to identify and understand the cause and effect of relationships across data </li><li>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 </li><li>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 </li></ul> <p>About Meta</p> <p>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.</p> <p>Equal Employment Opportunity</p> <p>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, 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.</p> <p>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.</p>