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.
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 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
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance
