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