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

Meta•Redmond, WA

5d•$7,650 - $12,667

About The Position

The Meta Reality Labs Research Team is dedicated to creating the future of virtual and augmented reality. This team comprises world-class researchers, developers, and engineers focused on advancing AR, VR, and MR technologies to be as essential as smartphones and personal computers. The team is developing critical components for AR glasses and VR headsets, including optics, displays, computer vision, audio, graphics, brain-computer interfaces, haptic interaction, tracking systems, perception science, and telepresence. The Meta Reality Labs Research audio team specifically aims to create virtual sounds indistinguishable from reality and redefine human hearing, enabling deeper connections and improved communication in challenging environments. We are seeking interns passionate about groundbreaking research in audio signal processing, machine learning, and audio-visual learning to address significant audio-driven challenges for AR/VR applications. Current projects involve multimodal representation learning, audio-visual scene analysis, egocentric audio-visual learning, multi-sensory speech enhancement, and acoustic activity localization. Internships typically last 12 to 24 weeks with flexible start dates throughout the year.

Requirements

Currently have, or are 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, Biomedical 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

Nice To Haves

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

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.