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Research Intern, Deep Learning and Image Synthesis (PhD)

Research | Redmond, WA

Facebook Reality Labs (FRL) are a world leader in the design of virtual and augmented reality systems. We are currently seeking innovative research interns with a passion for technology to develop next-generation head-mounted display and imaging systems at our research location in Redmond, WA. These roles are focused on developing advanced image synthesis methods for virtual and augmented reality systems. In particular we welcome PhD students in computer science, applied math, electrical engineering, or similar, with a strong background in deep learning, numerical optimization, computer graphics and computer vision. Our internships are sixteen (16) to twenty four (24) weeks long and we have various start dates throughout the year.


  • Explore deep learning methods for image synthesis applications in virtual and augmented reality
  • Collaborate with the larger FRL team and provide creative leadership on computational camera and display technologies
  • Publish research results in top-tier journals and at leading international conferences

Minimum Qualifications

  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
  • Currently has or is in the process of obtaining a PhD in the field of Computer Science, Applied Math, Electrical Engineering, or a related field
  • 2+ years experience with programming languages such as Python, Matlab, C/C++, etc
  • 2+ years experience with deep learning platforms such as TensorFlow, PyTorch, etc
  • Interpersonal skills: cross-group and cross-culture collaboration

Preferred Qualifications

  • Intent to return to degree-program after the completion of the internship/co-op
  • Proven track record of achieving significant results as demonstrated by first-authored publications in top computer vision and graphics conferences such as CVPR, SIGGRAPH, etc
  • Demonstrated experience via an internship, work experience, or widely used contributions to open source projects.

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Oculus is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, genetic information, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

Oculus is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at