Research Intern, Audio(Masters/PhD University Student)
Facebook - Redmond WA

Internship Category: Paid

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  • Oculus Research Redmond is looking for exceptional interns to help us make audio in augmented reality and virtual reality realistic. Expertise in audio, acoustics, signal processing, CPU-GPU parallelization, machine learning, psychoacoustics, and computer science are especially appreciated, but smart, motivated people with strong coding or hardware backgrounds are more than welcome. Strong math skills are a huge plus. We want to build a broad virtual reality research community, so we encourage publishing. Come join us as we make AR and VR happen!

    We are accepting applications from students interested in (but not limited to) the following areas:

    -Audio

    -Signal processing

    -Microphone array processing

    -Acoustics

    -Hearing sciences

    -Speech

    -Psychoacoustics

    -CPU-GPU parallelization

    -Machine learning

    -Numerical solvers

    -Monte Carlo simulations

    Our internships are sixteen (16) to twenty four (24) weeks long and we have various start dates throughout the year.

    Responsibilities:

    • Design and implementation of novel algorithms to solve audio research problems
    • Collaboration with and support of other researchers across various disciplines
    • Communication of research agenda, progress and results

    Mininum Qualifications:

    • Pursuing a PhD or Masters in Acoustics, Computer Science, Mechanical Engineering, Electrical Engineering or related STEM fields
    • Must be currently enrolled in a full time degree program and returning to the program after the completion of the internship
    • Excellent interpersonal skills, cross-group and cross-culture collaboration
    • High levels of creativity and quick problem solving capabilities
    • Proven track record of achieving significant results
    • 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 PhD papers
    • Experience with C/C++, MATLAB or CUDA
    Oculus Research Redmond is looking for exceptional interns to help us make audio in augmented reality and virtual reality realistic. Expertise in audio, acoustics, signal processing, CPU-GPU parallelization, machine learning, psychoacoustics, and computer science are especially appreciated, but smart, motivated people with strong coding or hardware backgrounds are more than welcome. Strong math skills are a huge plus. We want to build a broad virtual reality research community, so we encourage publishing. Come join us as we make AR and VR happen!

    We are accepting applications from students interested in (but not limited to) the following areas:

    -Audio

    -Signal processing

    -Microphone array processing

    -Acoustics

    -Hearing sciences

    -Speech

    -Psychoacoustics

    -CPU-GPU parallelization

    -Machine learning

    -Numerical solvers

    -Monte Carlo simulations

    Our internships are sixteen (16) to twenty four (24) weeks long and we have various start dates throughout the year.

    Responsibilities:

    • Design and implementation of novel algorithms to solve audio research problems
    • Collaboration with and support of other researchers across various disciplines
    • Communication of research agenda, progress and results

    Mininum Qualifications:

    • Pursuing a PhD or Masters in Acoustics, Computer Science, Mechanical Engineering, Electrical Engineering or related STEM fields
    • Must be currently enrolled in a full time degree program and returning to the program after the completion of the internship
    • Excellent interpersonal skills, cross-group and cross-culture collaboration
    • High levels of creativity and quick problem solving capabilities
    • Proven track record of achieving significant results
    • 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 PhD papers
    • Experience with C/C++, MATLAB or CUDA
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