Location
London

Hours
Internship duration ranges from 12 to 24 weeks with various start dates throughout the year

Salary
Negotiable

About the Role
Meta was built to help people connect and share, and over the last decade, our tools have played a critical part in changing how people around the world communicate. With over a billion users and more than fifty offices globally, a career at Meta offers countless ways to make an impact in a fast-growing organization. We are seeking Research Interns to join Monetization Ranking & AI Foundations, where we strive to serve the best personalized ads to people, maximizing their personal utility and advertiser value. Our team is committed to making fundamental advances in artificial intelligence and machine learning technologies applicable to all aspects of Monetization, including ranking, retrieval, supply, model architecture, representation learning, optimization, and a deep understanding of users, ads, and related signals and content.

Interns collaborate closely with researchers and engineers within Meta and across the company (e.g., FAIR, MSL), pushing the boundaries of state-of-the-art AI and ML research and integrating innovations into production systems at an unprecedented scale.

Key responsibilities include conducting state-of-the-art research to advance machine learning and AI science and technology, developing novel algorithms and systems leveraging various AI/ML techniques, analyzing and improving efficiency, scalability, and stability of deployed algorithms, collaborating across disciplines, and contributing to research that can be applied to Meta product development.

Experience
- Proven track record of significant research results demonstrated by grants, fellowships, patents, or first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, AAAI, KDD, IJCAI, CVPR, ICCV, or similar
- Experience with deep learning frameworks such as PyTorch or TensorFlow
- Experience with Python, C++, C, Java, or other related programming languages
- Experience in research and building systems based on machine learning and/or deep learning methods
- Demonstrated software engineering experience via internships, work experience, coding competitions, or widely used open source contributions (e.g., GitHub)
- Experience manipulating and analyzing complex, high-volume, high-dimensional data from varying sources for large-scale training
- Experience working and communicating cross-functionally in a team environment

About you
- Self-driven motivation in solving analytical problems using quantitative approaches
- Strong collaboration and communication skills to work effectively with researchers and engineers across varied disciplines

Qualifications
- Currently has or is 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 work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
- Intent to return to degree program after completion of the internship/co-op