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Summary:

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 within RL Research is looking for an experienced, innovative Signal Processing and Machine Learning Research Scientist, with a specialty in multi-channel audio processing to join our growing team. You will be doing research and applied research in technologies that improve listener’s hearing abilities under challenging listening conditions, with a team of dedicated researchers, developers, and engineers. You will operate at the intersection of acoustics, hearing and signal processing algorithms with hardware and software co-design.

Required Skills:

Research Scientist Multi-channel Audio Processing and Machine Learning Responsibilities:

1. Develop novel algorithms and signal processing techniques to solve complex problems at the intersection between beamforming, machine learning, acoustics and signal processing with applications in VR and AR

2. Develop Multi-channel audio algorithms combining DSP and ML, and limit their total footprint on memory and compute

3. Lead the development of applications to enable quick prototyping, proof-of-concept and demonstrations

4. Collaborate with teams in the larger Reality Labs organization and provide creative leadership on cross-team technologies

5. Mentor researchers and engineers, providing technical guidance and expertise

6. Drive the development of new research initiatives and contribute to the overall strategy of the audio team

Minimum Qualifications:

Minimum Qualifications:

7. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

8. PhD or equivalent experience in Applied Mathematics, Audio Engineering and Signal Processing, Acoustics, Electrical Engineering, Computer Science, or a related field

9. 8+ years Experience developing and productizing audio real-time solutions

10. 8+ years Experience developing, implementing and evaluating ML and DSP solutions for microphone arrays

11. 8+ years experience in programming in C++, MATLAB, or Python

12. Experience with cross-group and cross-functional collaboration

Preferred Qualifications:

Preferred Qualifications:

13. 8+ years experience optimizing multi-channel real-time audio solutions on edge devices

14. Demonstrated experience designing, executing and analyzing perceptual studies to evaluate audio performance

15. Proven track record of achieving successful tech transfers in industry

16. Experience with patent filing and intellectual property protection

17. Proven track record of publication record in top-tier conferences and journals

Public Compensation:

$85.10/hour to $251,000/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].