Monetization Ranking AI Research organization is looking to advance AI and ML technologies for all aspects of Monetization, including ranking, retrieval, model architecture, and optimization to deliver personalized ads that maximize both user utility and advertiser value.
Requirements
- Research experience in deep learning, reinforcement learning, natural language processing, computer vision, recommendations, ranking, search, or related areas
- Programming experience in Python and hands-on experience with frameworks such as PyTorch
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward.
- First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ACL).
- Experience taking ideas from research to production.
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 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
Other
- 2+ years of experience holding an industry, faculty, or government researcher or applied researcher position, or related position
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
- Experience working and communicating cross functionally in a team environment.
