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 AI Research Scientists to join our team and drive SOTA research across the Monetization organization.

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 natural language processing and understanding

Design and implement generative modeling solutions for data augmentation

Research and develop graph-aware large language models

Develop and deploy AutoML pipelines

Apply Reinforcement Learning (RL) techniques, including long-term value optimization, RLHF, and RL4Reason

Use causal learning to identify and understand the cause and effect of relationships across data

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