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About the Role
Meta is seeking Research Interns to join Monetization Ranking & AI Foundations. This team strives to serve personalized ads, maximizing utility and advertiser value. Interns will make fundamental advances in AI and ML technologies applicable to ranking, retrieval, supply, model architecture, representation learning, optimization, and understanding user/ad interactions. Interns will collaborate with researchers and engineers, push the boundaries of AI/ML research, and integrate innovations into production systems at scale. Internships are 12-16 or 24 weeks long with various start dates.
Responsibilities
- Conduct state-of-the-art research to advance the science and technology of Machine Learning and Artificial Intelligence.
- Develop novel algorithms and corresponding systems, leveraging various AI and ML techniques.
- Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms.
- Collaborate with researchers and engineers across varied disciplines, including communicating research plans, progress, and results.
- Contribute to research that can be applied to Meta product development.
Requirements
- Currently have or are 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.
- Experience with deep learning frameworks such as Pytorch or Tensorflow.
- Experience with Python, C++, C, Java, or other related languages.
- Experience with research and building systems based on machine learning and/or deep learning methods.
Skills
- Deep learning frameworks (Pytorch, Tensorflow)
- Python
- C++
- C
- Java
- Machine learning
- Deep learning
- Research
- System building
- AI
- ML
- Software engineering
- Analytical problem solving
- Quantitative analysis
- Data manipulation
- Large-scale training
- Cross-functional communication
- Team collaboration
Work Type
- Internship
Experience Level
- Intern
Education Level
- Ph.D. candidate
About the Company
- 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 one another.
- With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.