Position Overview & Specifications
Meta AI is seeking Research Interns to join our AI Research for Monetization team to work on innovative problems that would power the next generation product and platforms at scale. The problems range from various research domains and require applying cutting-edge algorithms to help us understand our content and users better. Our teams at Meta AI offer twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year. To learn more about our research, visit https://research.facebook.com.
Research Intern, AI Research for Monetization (PhD) (London) Responsibilities:
Minimum Qualifications:
Preferred Qualifications:
Research Intern, AI Research for Monetization (PhD) (London) Responsibilities:
- Develop novel state-of-the-art machine learning algorithms and corresponding systems
- Leverate various deep learning techniques, either in the space of deep generative models, or recommender systems.
- Contribute to research that can eventually be applied to Meta product and run on billions of media items every day
- Based on the project, help analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms
- Collaborate with team members, all the way from prototyping in a notebook to deploying at scale
Minimum Qualifications:
- In the process of obtaining a PhD degree
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
- Experience with Generative AI, or recommender systems, or ranking systems
- Experience in Python
- Prior experience with deep learning frameworks
- At Least one first-authored publication at top AI conferences such as NeurIPS, ICLR, ICML, RecSys, WWW, KDD, CVPR, ICCV, ECCV, SIGGRAPH or similar
Preferred Qualifications:
- Intent to return to degree-program after the completion of the internship
- Extensive experience solving analytical problems using quantitative approaches
- Comfortable with manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
- Ability to communicate complex research in a clear, precise, and actionable manner
- A strong interest in theoretical and empirical research and for answering hard questions with research
- Interpersonal experience: cross-group and cross-culture collaboration
- Ability to stay in touch with the literature of a particular domain and has the ability to reproduce results if needed