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Research Scientist Intern, Computer Vision - Accel (PhD)

Meta

over 2 years ago

Employment type

Internship

Organization size

10,000+

Salary

Salary undisclosed

Department

Data Science / Analytics

On-site

Unspecified location

Skills

    ResearchPythonCross Cultural AssimilationDeep Learning AlgorithmsQuantitative AnalyticsDeep Learning3D Rendering

About the role

Description

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.).

Other requirements

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

Benefits

    🏥

    Health insurance

    💻

    Company equipment

    📖

    Learning/upskilling

Meta

Meta

Company page

Technology, Information and Internet

Website

https://www.metacareers.com/

Industry

Computer Software

Organization size

10,000+

Job details

Internship

On-site

Data Science / Analytics

10,000+

Salary undisclosed

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