Meta's Monetization Ranking AI Research organization is looking to deliver personalized ads that maximize both user utility and advertiser value by advancing AI and ML technologies
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 with model scaling and transfer learning techniques
- Experience with NextGen sequence learning techniques
- Experience with generative modeling solutions for data augmentation
- Experience with graph-aware large language models
- Experience with AutoML pipelines
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
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 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
- Master's degree or PhD in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or relevant technical field
- Experience working and communicating cross functionally in a team environment
