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SalaryReality Labs Research at Meta brings together a world-class team of researchers, developers, and engineers to create the future of augmented and virtual reality, which together will become as universal and essential as smartphones and personal computers are today. Just as personal computers have done over the past 45 years, AR and VR will ultimately change everything about how we work, play, and connect. The Research Audio team aims to fundamentally transform the human experience through audio innovation. We are creating virtual sound that is perceptually indistinguishable from reality and redefining human hearing. We research and invent technologies related to sound capture, acoustic scene understanding, psychoacoustics, hearing, sound propagation, audio rendering, the hardware breakthroughs necessary to power these technologies, and much more. The discoveries we make inform immersive and ubiquitous AR and VR products across Meta, supporting meaningful connections to the world and people across AR, mobile, VR, wearable devices, and beyond. We're seeking an experienced Technical Lead Manager to drive the development of spatial audio technologies from ideation to productizable systems and features. This role will involve leading a small team of researchers, developers, and engineers to develop new audio features to connect people and bring the world closer together.
- Develop novel algorithms and signal processing techniques to solve spatial audio problems with applications in VR and AR
- Collaborate with teams in the larger Reality Labs org and provide creative leadership on cross-team technologies
- Collaborate with external academic groups to advance our research goals
- Lead research efforts within the audio research team: set vision, mission and long-term strategy for the effort, make strategic and operational decisions, ensure execution against the goals and timelines
- Lead cross-functional collaboration with product teams to tech transfer new audio technologies and features to products on the roadmap
Minimum Qualifications:
- PhD in the field of Applied Mathematics, Audio Engineering and Signal Processing, Acoustics, Electrical Engineering, Computer Science, or related fields
- 7+ years experience developing, implementing and evaluating algorithm and signal processing techniques for spatial audio
- 7+ years experience in programming in C++, MATLAB, or Python
- Interpersonal experience: cross-group and cross-culture collaboration
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications:
- Demonstrated experience leading and growing a small research team
- Demonstrated experience developing machine learning algorithms for audio signal processing
- Demonstrated experience developing end-to-end systems for spatial audio personalization
- Demonstrated experience developing auralization systems for synthesis of virtual sound sources and environments
- Demonstrated experience designing, executing and analyzing perceptual studies to evaluate spatial audio performance
- Proven track record of achieving significant results as demonstrated by first-authored conference publications or journal articles such as: Acoustical Society of America (ASA), Audio Engineering Society (AES), IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), Journal of Acoustical Society of America (JASA), and IEEE transactions and workshops
