Location
London

Hours
Internship duration varies from twelve (12) to sixteen (16), or twenty-four (24) weeks with various start dates throughout the year

Salary
Negotiable

About the Role
Meta is seeking Research Scientist Interns to join Monetization Ranking & AI Foundations, where we focus on delivering the best personalized ads by maximizing user utility and advertiser value. You will conduct state-of-the-art research to advance machine learning and artificial intelligence technologies applied to ranking, retrieval, supply, model architecture, representation learning, optimization, and user-ad interaction signals. Interns collaborate closely with researchers and engineers across Meta and FAIR, pushing the boundaries of AI and ML research, publishing top-tier papers, contributing to open source, and integrating innovations at scale. Responsibilities include developing novel algorithms and systems, analyzing and improving efficiency, scalability, and stability of deployed algorithms, collaborating cross-functionally, and contributing research that impacts Meta’s product development.

Experience
- Proven track record of significant research results demonstrated by grants, fellowships, patents, or first-authored publications at leading conferences such as NeurIPS, ICML, ICLR, AAAI, KDD, IJCAI, CVPR, ICCV, ACL, NAACL, ICASSP, or similar
- Experience with deep learning frameworks such as PyTorch or TensorFlow
- Experience with programming languages including Python, C++, C, Java, or related languages
- Demonstrated software engineering experience through internships, work experience, coding competitions, or widely used open source contributions
- Experience manipulating and analyzing complex, high-volume, high-dimensional data for large-scale training
- Experience working and communicating cross-functionally in a team environment

About you
- Self-driven motivation to solve analytical problems using quantitative approaches
- Strong collaboration and communication skills
- Intent to return to your degree program after completing the internship/co-op

Qualifications
- Currently enrolled in or in the process of obtaining a Ph.D. degree in Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Computer Vision, Natural Language Processing, Reinforcement Learning, Optimization, Computational Statistics, Applied Mathematics, or related technical fields
- Must obtain and maintain work authorization in the country of employment at the time of hire and throughout employment