Research Scientist Intern, Computer Vision - Accel (PhD) Responsibilities

• Develop highly scalable algorithms based on machine learning and neural network methodologies.
• Collaborate with Facebook AI Research (FAIR) scientists to facilitate research that enables learning the semantics of data (images, videos, audio).
• Apply knowledge of relevant research domains along with expert coding skills to platform and framework development projects.
• Analyze, process, and annotate large datasets for use in the training and evaluation of AI systems for use in both research and production tasks.
• Adapt machine learning and neural network algorithms to best exploit modern parallel environments (e.g. distributed clusters, GPUs, TPUs, etc.).

Minimum Qualifications

• Currently has, or is in the process of obtaining a PhD degree
• Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or top AI conferences
• 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

• Prior research experience in topics related to 3D reconstruction, novel-view synthesis and neural rendering
• Intent to return to degree-program after the completion of the internship/co-op
• Prior experience with deep learning frameworks
• Extensive experience solving analytical problems using quantitative approaches
• Comfortable manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
• 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