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Research Engineer - Audio Data Collection Team
- Meta (Redmond, WA)
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Summary:
At Meta’s Reality Labs, 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 lead on the design and development of large-scale data collection and processing systems to enable research & development of audio AR & VR technologies. You will be providing technical direction for engineers on the team and working closely with other researchers and engineers building novel computational & machine learning systems.
Required Skills:
Research Engineer - Audio Data Collection Team Responsibilities:
1. Ownership and leadership on design and development of data collection systems, solving unique engineering challenges in creating complex multi-modal systems used in large-scale human-oriented data collection.
2. Design and implementation of tooling for data processing, visualization and management.
3. Influencing the team-wide strategy for data collection and associated ML system and model training and evaluation with innovative engineering approaches to meet varied and evolving needs.
4. Data analysis with great attention to detail to identify future data quality improvements.
5. Learning constantly, diving into new areas with unfamiliar technologies, and embracing the ambiguity of AR/VR problem solving.
Minimum Qualifications:
Minimum Qualifications:
6. 6+ years of experience in the design, development, integration and testing of systems featuring hardware and software
7. 3+ years experience with Python
8. 2+ years experience of providing technical leadership, setting direction for other engineers
9. Experience with networking and shell scripting
10. Experience with interpersonal skills working effectively across groups and disciplines
11. Bachelor’s degree or equivalent experience in Electrical Engineering, Computer Science or a related field
Preferred Qualifications:
Preferred Qualifications:
12. Experience working with audio
13. Experience developing large data collection systems and datasets for machine learning, including systems for capturing, processing, annotating and storage
14. Experience with early stage research and rapid prototyping
15. Understanding of visual and other sensors (e.g. motion capture and IMU), with experience in sensor and camera calibration
16. Understanding of 3D mathematics, applied linear algebra and applied statistics
Public Compensation:
$170,000/year to $240,000/year + bonus + equity + benefits
**Industry:** Internet
Equal Opportunity:
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, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].
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