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.
Requirements
- 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
- 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
Benefits
- Medical and dental insurance
- 401(k) matching
- Paid vacation time
- Flexible work hours
- Professional development opportunities
