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Research Scientist, Machine Learning - Audio

Meta
Burlingame, CA$122k–$181kPosted Jul 23, 2026
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Research Scientist, Machine Learning - Audio

Meta Burlingame, CA

Research Scientist, Machine Learning - Audio

Meta Burlingame, CA 5 days ago 29 applicants

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Meta provided pay range

This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$122,000.00/yr - $181,000.00/yr At Meta’s Reality Labs Research, our goal is to make consumer virtual, augmented, and mixed reality experiences. Come work alongside scientists and engineers to create the technology that makes VR and AR pervasive and universal. Join us as we develop technologies that define the future of AR and VR. We are a 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 have the potential to transform how we work, play, and connect. We are developing all the technologies needed to enable breakthrough Smart glasses, 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 Reality Labs Research is looking for an experienced, innovative Machine Learning Research Scientist, with a specialty in audio and speech processing to join our growing team. You will be doing research and conducting applied research in technologies that improve interactions with an AI agent under challenging acoustic conditions, with a team of dedicated researchers, developers, and engineers. You will operate at the intersection of acoustics, speech, and signal processing algorithms with hardware and software co-design.

Research Scientist, Machine Learning - Audio Responsibilities:

  • Develop novel algorithms and signal processing techniques to solve complex problems at the intersection between machine learning, acoustics, and signal processing with applications in VR and AR
  • Develop sensor fusion solutions with limited compute and memory
  • Develop ML algorithms that deliver on engineering best practices and product quality
  • Lead the development of applications to enable quick prototyping, proof-of-concept, and demonstrations
  • Collaborate with teams in the larger Reality Labs organization and provide creative leadership on cross-team technologies

Minimum Qualifications:

  • 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
  • Ph.D. or equivalent experience in Applied Mathematics, Audio Engineering and Signal Processing, Acoustics, Electrical Engineering, Computer Science, Biomedical Engineering, or a related field
  • Experience in developing and shipping speech input solutions
  • 3+ years of experience in developing, implementing, and evaluating algorithms and signal processing techniques for speech
  • 3+ years of experience in programming in C++, MATLAB, or Python
  • Experience collaborating with geographically distributed or cross-functional teams

Preferred Qualifications:

  • Demonstrated experience in designing, executing, and analyzing perceptual studies to evaluate audio performance
  • Proven track record of successfully leading complex research projects with significant impact on products or company's strategy
  • 3+ years of experience developing, implementing, and evaluating algorithms and signal processing techniques for beamforming and machine learning solutions

About 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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 accommodations-ext@meta.com.

$122,000/year to $181,000/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.

  • Seniority level

    Not Applicable

  • Employment type

    Full-time

  • Job function

    Other

  • Industries

    Technology, Information and Internet

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