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 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. 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.
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.
- Communication of progress including via posts, presentations, and meetings.
- Creation of documentation that enables more efficient use of data.
- Constant learning, diving into new areas with unfamiliar technologies, and embracing the ambiguity of AR/VR problem solving.
Minimum Qualifications
- 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.
Preferred Qualifications
- 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.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
$139,000/year to $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.
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
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.
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.
#J-18808-Ljbffr