Research Intern, Machine Learning - Audio (Masters/PhD University Student)

Internship - Engineering, Tech & Design | Redmond, WA

;The goal of this project is high-accuracy 3D reconstruction of rigid objects for a novel application related to personalized AR/VR experience.


  • Research, model, design, and/or build novel reconstruction architectures.
  • Collaborate with researches and engineers across diverse disciplines.
  • Communication of research agenda, progress and results.

Minimum Qualifications

  • Pursuing a PhD in Computer Science, Robotics, Applied Math or a related STEM field
  • Currently enrolled in a full time degree program and returning to the program after the completion of the internship
  • High levels of creativity and quick problem solving capabilities
  • Interpersonal skills: cross-group and cross-culture collaboration
  • Ability to obtain work authorization in the United States in 2018

Preferred Qualifications

  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. Github)
  • Experience with numerical optimization, and machine learning
  • Experience with machine learning libraries such as PyTorch, TensorFlow, etc.
  • Proven track record of achieving results as demonstrated in accepted papers at top computer vision and machine learning related conferences such as CVPR, ECCV, NIPS, etc.

Ready to Join?

Apply Now

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.

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