Research Engineer: Audio
Redmond, WA
Meta
Giving people the power to build community and bring the world closer together
At Meta’s Reality Labs Research, our goal is to make world-class consumer virtual, augmented, and mixed reality experiences. Come work alongside industry-leading scientists and engineers to create the technology that makes VR and AR pervasive and universal. Join the adventure of a lifetime as we make science fiction real and change the world. We are a world-class team of researchers and engineers creating the future of augmented and virtual reality, which together will become as universal and essential as smartphones and personal computers are today. And 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 Smartglasses, AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interfaces, 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 at Meta Reality Labs is looking for a Research Engineer to support large-scale data collection, processing and management to enable research & development of audio AR & VR technologies. You will be supporting on-site data collection activities and building tooling for data processing and management as needed. You will be working closely with researchers and engineers building novel computational & machine learning systems.Research Engineer: Audio Responsibilities
US$139,000/year to US$200,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity and Affirmative Action Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@meta.com.
We are developing all the technologies needed to enable breakthrough Smartglasses, AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interfaces, 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 at Meta Reality Labs is looking for a Research Engineer to support large-scale data collection, processing and management to enable research & development of audio AR & VR technologies. You will be supporting on-site data collection activities and building tooling for data processing and management as needed. You will be working closely with researchers and engineers building novel computational & machine learning systems.Research Engineer: Audio Responsibilities
- Work with researchers to understand data needs and propose solutions to these needs.
- Work with data collection project and program managers to prioritize work.
- Take ownership and leadership on design, setup, and maintenance of data collection systems comprising software and hardware that handles many streams of multi-modal data.
- Design and implement tooling for data processing, visualization, and management.
- Data analysis with great attention to detail to identify future data quality improvements.
- Investigate novel data collection methods.
- Communication of progress including via posts, presentations, and meetings.
- Creation of documentation that enables more efficient use of data.
- Collaboration in a diverse team environment across multiple disciplines.
- Constant learning, diving into new areas with unfamiliar technologies, and embracing the ambiguity of AR/VR problem solving.
- Bachelor’s degree or equivalent experience in Computer Science or a related field.
- 5+ years of relevant industry experience.
- 3+ years experience with Python.
- 3+ years experience working with large data collection systems and datasets for machine learning, including capturing, processing, annotating and storage.
- Experience working with audio including audio processing and acoustic datasets.
- Experience in communicating effectively with a broad range of stakeholders and collaborators, at different levels.
- MS in a relevant field such as Deep Learning, Machine Learning, Computer Vision, Computer Science, Statistics or equivalent work experience.
- Experience with audio signal processing and audio-visual machine learning.
- Experience with networking and shell scripting.
- Understanding of visual and other sensors (e.g. motion capture and IMU), with experience in sensor and camera calibration.
- Understanding of 3D mathematics, applied linear algebra and applied statistics.
- Experience with building models on speech or acoustic datasets, ideally with Pytorch.
US$139,000/year to US$200,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity and Affirmative Action Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@meta.com.
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Categories:
Engineering Jobs
Research Jobs
Tags: Computer Science Computer Vision Data analysis Data quality Deep Learning Linear algebra Machine Learning Mathematics Physics Python PyTorch R&D Research Shell scripting Statistics VR
Perks/benefits: Career development Equity / stock options Health care Salary bonus Team events
Region:
North America
Country:
United States
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