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Meta · 2 weeks ago

Research Scientist Intern, Audio, Machine Learning and Computer Vision (PhD)

Redmond, WA

Internship

Onsite

Intern

$7,650/mo - $12,134/mo

3+ years exp

Meta is a technology company focused on connecting people and building immersive experiences like augmented and virtual reality. They are seeking a Research Scientist Intern to work on audio signal processing and machine learning for AR/VR applications, collaborating with diverse teams to develop novel algorithms and evaluate new technologies.

Computer Software

Comp. & Benefits

Responsibilities

Research, model, design, develop and test novel audio and speech processing algorithms using machine learning, signal processing, and computer vision

Collaborate with researchers and engineers across diverse disciplines

Design and implementation of novel algorithms to solve audio research problems

Experimental design, implementation, and execution to evaluate new audio technologies

Collaboration with other researchers across audio and acoustic engineering disciplines

Communication of research agenda, progress, and results

Qualification

Machine LearningAudio Signal ProcessingComputer VisionPythonMatlabPyTorchTensorFlowStatistical ModelingTeam CollaborationCommunication Skills

Required

Currently has, or is in the process of obtaining, a PhD degree in the field of Computer Science, Artificial Intelligence, Signal Processing, Machine learning, Computer vision, Electrical Engineering, Applied Math, Acoustics Engineering or a related STEM field

3+ years experience with Python, Matlab, or similar

3+ years experience with machine learning software platforms such as PyTorch, TensorFlow, etc

2+ years experience building novel computational models in audio or audio-visual or speech application domains using machine learning or signal processing

Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred

Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. Github)

Strong background in statistical modeling techniques and / or signal processing

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, ICASSP, InterSpeech 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