Meta AR/VR Job | Applied Scientist - Audio Algorithms (PhD)
Job（岗位）: Applied Scientist - Audio Algorithms (PhD)
Type（岗位类型）: Research
Citys（岗位城市）: Bellevue, WA
Date（发布日期）: 2022-1-20
Summary（岗位介绍）
The Remote Presence Audio Algorithms team at Meta develops the core tech underlying the audio stack for real-time communications across the Facebook family of Apps - owning audio quality for billions of users of Messenger, Facebook, Instagram, Portal, Oculus etc.
Our work is focused on ensuring that our users experience great audio quality regardless of the device they use (avoid echo, remove noise, etc.) or the network they are on (compensate for packet loss and jitter in the network, respond to bandwidth changes, etc.). The team is playing a critical role in enabling new audio features in the metaverse.
We are increasingly pivoting towards ML to solve a number of problems in the audio domain, such as background noise suppression, echo cancellation, dereverberation, packet loss concealment, codecs, ML based estimation of in-call audio quality, building predictors of user perception based on technical metrics reported from calls, predicting in-call network conditions, adjusting our algorithms to compensate for changes in bandwidth/packet loss jitter, and more.
We are growing rapidly, with lots of exciting growth and mentorship opportunities in a strong team, and the opportunity to positively impact our user base.
Qualifications（岗位要求）
Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, (Audio) Signal Processing, or related field
Experience with ML frameworks such as PyTorch or TensorFlow to train models for one or more of the following applications: noise suppression, dereverberation, echo cancellation, packet loss concealment, MOS estimation
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
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.
Description（岗位职责）
R&D in the areas of audio ML and signal processing, both device and network related, to deliver best-in-class quality across the Facebook family of apps
Develop novel signal processing algorithms, and train/deploy ML models for the audio areas listed above that can run on all devices and work well for our diverse user base and operating conditions
Develop metrics to evaluate perceptual audio quality in real-time communication
Collaborate with partner teams across Facebook AI and Research. Engage with the research and open-source community to contribute and stay up-to-date with the latest advancements in the field
Design and conduct in-field experiments to continuously improve audio quality for our users
Additional Requirements（额外要求）
Proven track record of achieving significant results as demonstrated by grants, or fellowships, as well as first-authored publications in IEEE Trans. Audio, Speech, and Language Processing, IEEE ICASSP, INTERSPEECH, etc
Experience in crowd sourced data collection, labeling and quality evaluation
Experience in an industry environment through one or more internships
