Meta AR/VR Job | Research Scientist, ML Applications in Spatial Audio (PhD)
Job（岗位）: Research Scientist, ML Applications in Spatial Audio (PhD)
Type（岗位类型）: Research
Citys（岗位城市）: Redmond, WA
Date（发布日期）: 2022-3-17
Summary（岗位介绍）
Reality Labs brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented 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. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interface, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. Some of those will advance much faster than others, but they all need to happen to enable AR and VR that are so compelling that they become an integral part of our lives.
The audio team within Reality Labs Research (RL-R) is looking for an innovative Research Scientist with a broad set of skills in computational modeling and statistical analysis preferably in the context of audio or acoustics. In this position, you’ll develop advanced algorithms and computational modeling approaches to solve complex problems in the intersection between spatial audio personalization, acoustics and signal processing, to advance the state-of-the art technologies that will change the way we perceive spatial audio in the metaverse.
Qualifications（岗位要求）
Currently has, or is in the process of obtaining a PhD in the field of applied mathematics, statistics, physics, acoustics, computer science, electrical engineering, deep learning, machine learning, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
3+ years experience with development and implementation of machine learning or deep learning algorithms.
3+ years experience with scientific programming in C++, MATLAB, or Python.
3+ years experience with PyTorch, TensorFlow, or similar platforms.
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
Currently has, or is in the process of obtaining a Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
Interpersonal experience: cross-group and cross-culture collaboration.
Description（岗位职责）
Develop novel algorithms and computational models to solve complex problems at the intersection between spatial audio personalization, acoustics and data science with applications in augmented and virtual reality.
Design and implement state-of-the-art audio/acoustics computational models and machine learning techniques on PyTorch, TensorFlow, or similar platforms.
Lead the data collection and experimental design to acquire accurate and reliable datasets for computational model training/validation/testing.
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.
Publish research results in top-tier journals and at leading international conferences.
Additional Requirements（额外要求）
Demonstrated willingness to implement and evaluate working end-to-end prototypical learning systems.
Proven success at working with physical models, their principles and processes.
Experience with working on novel algorithm development for spatial audio personalization.
Experience with acoustics, wave-equation and numerical simulation.
Proven track record of achieving significant results as demonstrated by first-authored top-tier conference publications or journal articles.
Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
Experience working and communicating cross functionally in a team environment.
