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. We are committed to advancing the field of Generative AI by making fundamental advances in technologies to help interact with our world and empower content creation. We are seeking individuals passionate in areas such as image/video generation and editing. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. Our internships are twenty (20) to twenty-four (24) weeks long and we have various start dates throughout the year. Research Scientist Intern, Computer Vision for Generative AI (PhD) Responsibilities
- Design and implement cutting-edge generative AI algorithms and systems using advanced deep learning techniques.
- Conduct research to enhance the efficiency and effectiveness of diffusion models for both image and video applications.
- Explore and develop methods for real-time inference of diffusion models.
- Share and publish research findings to contribute to the broader scientific community.
- Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Computer Vision, Audio Processing, Artificial Intelligence, Generative AI, or relevant technical field.
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
- Experience with Python or other related language.
- Experience building systems based on machine learning and/or deep learning methods.
- Intent to return to degree program after the completion of the internship/co-op
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP or similar.
- Experience working and communicating cross functionally in a team environment.
- Experience in advancing AI techniques in computer vision, including core contributions to open source libraries and frameworks in computer vision.
- Experience solving analytical problems using quantitative approaches.
- Experience setting up ML experiments and analyze their results.
- Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources.
- Experience in utilizing theoretical and empirical research to solve problems.
- Experience with deep learning frameworks.
Remote
Zurich / Switzerland
