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Audio Research Jobs (NOW HIRING)

Sesame

Audio Systems Engineer

San Francisco, CA · On-site

$175K - $280K/yr

Research and implement advanced technologies to optimize audio system integration. * Continuously learn and explore new technologies, setting benchmarks for user experiences. * Collaborate on system ...

Prolim Global

Project Manager IV

Redmond, WA · On-site

Familiarity with the latest trends and technologies in data collection and audio research. * Education College degree in Business Administration, Management, Engineering, or a field relevant to the ...

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How much do audio research jobs pay per year?

As of Jun 23, 2026, the average yearly pay for audio research in the United States is $106,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $104,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Audio Research position, and why are they important?

To thrive in Audio Research, you need a strong background in acoustics, audio engineering, and data analysis, usually backed by a degree in audio technology, physics, or a related field. Familiarity with specialized software such as MATLAB, Pro Tools, or audio measurement tools, as well as experience with digital signal processing (DSP), is commonly required. Critical thinking, attention to detail, and strong teamwork and communication skills set top professionals apart. These skills ensure accurate data collection, insightful analysis, and effective collaboration important for advancing audio technologies.

What is an Audio Research job?

An Audio Research job involves studying sound, audio technology, and acoustics to improve recording, processing, and playback systems. Professionals in this field analyze audio trends, develop new sound technologies, and conduct experiments to enhance audio quality. They may work in industries such as music, film, gaming, and telecommunications, often collaborating with engineers and designers. Their responsibilities can include testing equipment, optimizing sound design, and researching innovations in audio hardware and software.

What are the typical daily responsibilities of an Audio Research professional?

Audio Research professionals typically spend their days designing and conducting experiments, analyzing acoustic data, and developing or testing new audio technologies. They collaborate closely with engineers, product designers, and other researchers to refine audio quality and solve technical challenges. Tasks may include setting up equipment, running simulations, preparing technical reports, and presenting findings to the team. This role often involves both independent work and teamwork, offering a dynamic environment for those passionate about innovation in sound.

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Audio Research jobs near you
Research Scientist Intern, Audio Quality with AI (PhD)

Research Scientist Intern, Audio Quality with AI (PhD)

Meta

Redmond, WA

Internship

Posted 12 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

123rd of 191 rated software companies

Job description

The Meta Reality Labs Research Team brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented 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, VR and MR will ultimately change everything about how we work, play, and connect. We are developing all the technologies needed to enable breakthrough 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, VR and MR that are so compelling that they become an integral part of our lives.In particular, the Meta Reality Labs Research audio team is focused on two goals; creating virtual sounds that are perceptually indistinguishable from reality, and redefining human hearing. See more about our work here: Inside Facebook Reality Labs Research: The future of audio and Filter Out the Noise With Conversation Focus. These two initiatives will allow us to connect people by allowing them to feel together despite being physically apart, and allow them to converse in even the most difficult listening environments.Meta Reality Labs Research is looking for an intern who is passionate about speech perception and audio quality to investigate why processed speech sometimes sounds degraded or robotic. The project focuses on identifying systematic phonemic errors as causal factors in perceived quality degradation, and linking these errors to human quality and intelligibility judgments. A core method is to explore the capabilities of audio vs video LLMs. This is fundamentally a speech-perception research role; multimodal/LLM methods are a supporting tool rather than the central focus. Our internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Audio Quality with AI (PhD) Responsibilities:
  • Investigate systematic phonemic errors as causal factors in perceived speech quality degradation, and link them to human perceptual judgments
  • Build and curate datasets and benchmarks of speech for phoneme-level analysis
  • Explore and compare the capabilities of audio and video (multimodal) LLMs as tools to support this analysis
  • Relate findings to human perceptual data (quality preference and intelligibility) and translate them into actionable insights for research and engineering teams
  • Where appropriate, adapt multimodal models to the task in a supporting capacity
  • Collaborate with researchers, engineers, and cross-functional partners to define goals, communicate findings, and drive improvements in speech quality
  • Develop tools and infrastructure to streamline and scale the analysis
  • Stay current with research in speech perception and audio quality and intelligibility assessment, and incorporate best practices into Meta's workflows
  • Disseminate results through internal reports and presentations, and, when appropriate, external publications

Minimum Qualifications:
  • Currently has, or is in the process of obtaining, a PhD degree in the field of Speech and Hearing Science, Auditory Neuroscience, Computational Neuroscience, Computer Science, Artificial Intelligence, Generative AI, Transformer Models, Machine Learning, Signal Processing or Computer vision
  • 3+ years experience with Python, Matlab, or similar
  • 3+ years experience with machine learning software platforms such as PyTorch, TensorFlow, etc
  • Background in speech perception, psychoacoustics, or acoustic phonetics
  • Experience deploying novel audio computational models and LLMs
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:
  • Experience building novel audio computational models and LLMs
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. Github)
  • Experience in advancing AI techniques, including core contributions to open source libraries and frameworks in computer vision or audio processing
  • Experience with audio and speech quality assessment
  • Experience with multichannel audio processing
  • Experience in visual and acoustic scene analysis
  • Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or top computer vision and machine learning conferences such as ARO, ASA, NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ICCV, ECCV, ICASSP, InterSpeech or simila
  • Experience in utilizing theoretical and empirical research to solve problems
  • Experience working and communicating cross functionally in a team environment
  • Intent to return to a degree-program after the completion of the internship/co-op

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.
$7,650/month to $12,134/month + 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.

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