Meta AI is seeking Research Interns to join our Computer vision teams to work on innovative problems that would power the next generation product and platforms at scale. The problems we are interested in are related to fundamental research in 3D reconstruction, novel-view synthesis and neural rendering.

We are proposing Summer, Fall, and Winter start dates. To learn more about our research, visit https://research.facebook.com.

Research Scientist Intern, AI Applied Computer Vision- Perception (PhD) Responsibilities

• Develop novel state-of-the-art computer vision algorithms and corresponding systems, leveraging various deep learning techniques
• Contribute to research that can eventually be applied to Facebook 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 potentially deploying at scale

Minimum Qualifications

• Currently has, or is in the process of obtaining a PhD degree in the domain of Computer Vision or related field
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
• Experience in Python
• Research and/or work experience in machine learning, deep learning, and/or computer vision

Preferred Qualifications

• Intent to return to degree-program after the completion of the internship/co-op
• Prior experience with deep learning frameworks
• Some experience in NLP nice to have but not required
• Extensive experience solving analytical problems using quantitative approaches
• Comfortable manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
• Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or top AI conferences.
• 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
• Prior experience in activity recognition, object recognition, text recognition, egocentric vision, multi-sensor fusion, vision-language, representation learning, 3D generation, integrity, or related domains