Research Scientist Intern

Key Responsibilities

• Design and implementation of novel algorithms to solve audio research problems.
• Experimental design, implementation, and execution to evaluate new audio technologies.
• Collaboration with and support of other researchers across audio and acoustic engineering disciplines.
• Communication of research agenda, progress, and results.

Requirements & Tech Stack

• Currently has, or is in the process of obtaining, a PhD degree in the field of Acoustics, Computer Science, Mechanical Engineering, Electrical Engineering or related STEM fields.
• 1+ years experience working with spatial audio capture algorithms.
• Expertise in one or more of the following research areas:
• Audio signal processing
• Binaural audio technology
• Microphone array processing
• Machine learning for spatial audio applications
• Beamforming
• Spatial audio evaluation
• Spatial audio coding
• Spatial audio perception
• Coding experience in one or more languages, including but not limited to: C/C++, C#, Python, Max/MSP, or MATLAB.
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.

Preferred Qualifications

• Experience with real-time multichannel audio processing and coding.
• Experience with machine learning software platforms such as PyTorch, TensorFlow, etc.
• Experience with Unity, Unreal, CryEngine, or similar game engines.
• Proven track record of achieving results as demonstrated in accepted papers in top conferences or journals such as ICASSP, WASPAA, InterSpeech, JASA, JAES, etc.
• Experience working and communicating cross-functionally in a team environment.
• Intent to return to a degree-program after the completion of the internship/co-op.

Internships are twelve (12) to twenty-four (24) weeks long with various start dates throughout the year.