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Auditory Research Jobs in California (NOW HIRING)

Conducts and evaluates clinical and research procedures as well as improved methods of evaluation of persons with auditory and balance disorders. Provides audiology education for patients and other ...

Conducts and evaluates clinical and research procedures as well as improved methods of evaluation of persons with auditory and balance disorders. Provides audiology education for patients and other ...

Conducts and evaluates clinical and research procedures as well as improved methods of evaluation of persons with auditory and balance disorders. Provides audiology education for patients and other ...

Conducts and evaluates clinical and research procedures as well as improved methods of evaluation of persons with auditory and balance disorders. Provides audiology education for patients and other ...

Visby Medical R&D Technician Visby Medical is an ambitious, well-funded late-stage biotech startup ... Must have visual and auditory acuity, as well as manual dexterity while using tooling and assembly ...

Independently conducts and evaluates clinical and research procedures as well as improved methods of evaluation of persons with auditory and balance disorders. Provides audiology education for ...

Independently conducts and evaluates clinical and research procedures as well as improved methods of evaluation of persons with auditory and balance disorders. Provides audiology education for ...

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Auditory Research information

See California salary details

$44.9K

$86.1K

$131.8K

How much do auditory research jobs pay per year?

As of Aug 19, 2026, the average yearly pay for auditory research in California is $86,104.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,600.00 and $97,200.00 per year, depending on experience, location, and employer.

What is an auditory research?

An Auditory Research job involves studying how humans and animals perceive and process sound. Researchers in this field explore topics such as hearing loss, speech perception, auditory neuroscience, and acoustic technologies. They may conduct experiments, analyze data, and develop new hearing aids or cochlear implants. These roles are typically found in universities, medical institutions, and private research labs. A background in neuroscience, psychology, audiology, or engineering is often required.

What are the typical daily responsibilities of an auditory research?

Professionals in Auditory Research typically split their time between designing experiments, collecting and analyzing auditory data, and writing research reports or scientific articles. Daily tasks may involve recruiting and testing human or animal subjects, programming auditory stimuli, calibrating specialized equipment, and collaborating with a multidisciplinary team of researchers and clinicians. You might also attend lab meetings, present findings, and stay current with literature in the field. The work is both intellectually stimulating and detail-oriented, providing opportunities to contribute to advancements in hearing health and technology. Collaboration and clear communication are vital, as projects often involve teamwork and coordination with other departments or partner institutions.

What are the key skills and qualifications needed to thrive in auditory research, and why are they important?

To excel in Auditory Research, a background in audiology, neuroscience, psychology, or a related scientific field is essential, often supported by advanced degrees such as a master's or Ph.D. Experience with data analysis software (like MATLAB or SPSS), auditory testing equipment, and research methodology certifications is highly valued. Strong analytical thinking, written communication, and attention to detail are crucial soft skills for success in this role. These competencies are vital to accurately investigate auditory processes, generate reliable results, and contribute meaningful advances to hearing science.

What are popular job titles related to Auditory Research jobs in California?

For Auditory Research jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Auditory Research jobs?

Cities in California with the most Auditory Research job openings:

Infographic showing various Auditory Research job openings in California as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $86,104 per year, or $41.4 per hour.

Research Scientist IV

PROLIM Global Corporation

Burlingame, CA • On-site

Full-time

Re-posted 8 days ago


Job description

Organization Overview
Reality Labs Research at Meta is a leading research organization of world-class researchers, developers, and engineers, who collaborate to actively create a future where virtual and augmented reality become as indispensable as today's smartphones and personal computers.
The mission of the Reality Labs Research Audio team is to engineer augmented audio that redefines human hearing capabilities. This will allow us to connect people by facilitating conversation in even the most challenging auditory environment.
Role Summary
We are seeking a contract applied research scientist specializing in building machine learning (ML) models that emulate auditory perception. This role is an integral part of our team, contributing to our research and development efforts. The ideal candidate will help us explore and understand individualized audio quality preferences and experiences, enabling us to tailor our technologies to meet unique user needs.
Responsibilities
  • Drive research on improved machine learning models for speech quality, run computational experiments and report findings.
  • Implement ML models that emulate aspects of human auditory perception.
  • Develop next-gen audio quality models.
  • Independently implement ML training pipelines, models, and evaluation frameworks.
  • Regularly report on project progress, dependencies and risks to stakeholders.
  • Support research scientists and engineers within the team.
  • Execute on applied coding tasks in support of the team's goals.

Minimum Qualifications
  • Interpersonal and communication skills, with strong attention to detail.
  • Proactive with ability to execute on multiple projects simultaneously.
  • Strong organizational and time management skills.
  • Track record of communicating research on ML perception in an academic or industrial setting.
  • Experience working in a fast-paced research and/or product development environment.
  • Experience with Python or other scientific programming languages.
  • Previous experience designing, training, and evaluating neural networks in Pytorch.
  • Experience working in a high performance computing environment.
  • Master's degree or equivalent experience in Computational Neuroscience, Cognitive Science, Electrical Engineering, Perception, Experimental Psychology, Audio Engineering, Acoustics, Computer Science, Computer Engineering, Biomedical Engineering, Computational Audiology or a related field.

Preferred Qualifications
  • PhD degree or equivalent experience.
  • Experience with modeling audio quality.

Top 3 Must-Have HARD Skills
  • Deep Learning for Audio/Speech Processing: The role requires building ML models for speech quality assessment and auditory perception. The candidate must have hands-on experience designing, training, and evaluating neural networks specifically for audio applications using PyTorch (TensorFlow, Keras much less desirable).
  • Psychoacoustic & Perceptual Modeling Expertise: The candidate must understand how humans perceive audio quality, including concepts like speech intelligibility, listening effort, speech degradation, and noise noticeability. This is critical for building models that accurately predict subjective Mean Opinion Scores (MOS) and enable features like Conversation Focus to be evaluated computationally rather than through time-consuming user studies.
  • ML Training Pipeline & Evaluation Framework Development: The role requires independently implementing end-to-end ML pipelines: data preparation, model training, hyperparameter tuning, and evaluation using metrics like MAE, Pearson correlation, SI-SDR, PESQ, STOI. Experience with HPC environments for large-scale training is essential.

Good-to-Have Skills
  • Binaural audio processing and spatial audio quality assessment
  • Speech enhancement experience (noise suppression, dereverberation, speaker separation)
  • Experience with audio-visual ML models (multi-modal learning)
  • Familiarity with hearing science metrics (HASQI, HASPI, PESQ, POLQA)
  • Signal processing fundamentals (DSP, beamforming, acoustic measurements)
  • Experience with human participant research and perceptual data collection
  • Background in computational hearing science or auditory cognitive neuroscience