ZipRecruiter

Log In

1

Audio Research Jobs (NOW HIRING)

HARMAN International

Audio ML Engineer (Research)

The Audio ML Engineer (Research) will develop machine learning models to enhance Intelligent Audio experiences across devices, focusing on perception and personalization while ensuring robust ...

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 ...

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 ...

SAIC

Audio Visual Technician

Washington, DC

$40K - $80K/yr

The position encompasses A/V installations, project management support, research and evaluation of new products and technologies, training, and in-house and customer support responsibilities . ONSITE ...

next page

Showing results 1-20

People also search for

All JobsAudio Research Jobs

Audio Research information

See salary details

$37K

$106K

$142.5K

How much do audio research jobs pay per year?

As of May 31, 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 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 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 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.
More about Audio Research jobs
What cities are hiring for Audio Research jobs? Cities with the most Audio Research job openings:
What are the most commonly searched types of Audio Research jobs? The most popular types of Audio Research jobs are:
What states have the most Audio Research jobs? States with the most job openings for Audio Research jobs include:
What job categories do people searching Audio Research jobs look for? The top searched job categories for Audio Research jobs are:
Audio Research jobs near you
Infographic showing various Audio Research job openings in the United States as of May 2026, with employment types broken down into 75% Full Time, 19% Part Time, 1% Temporary, 3% Contract, and 2% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $106,012 per year, or $51 per hour.
Audio ML Engineer (Research)

Audio ML Engineer (Research)

HARMAN International

Remote

Full-time

Posted 29 days ago

Job description

Job Summary:
HARMAN International is a global technology company focused on innovative audio solutions. The Audio ML Engineer (Research) will develop machine learning models to enhance Intelligent Audio experiences across devices, focusing on perception and personalization while ensuring robust deployment in both embedded and cloud environments.
Responsibilities:
• Develop ML models for perception-related tasks (e.g., quality prediction, artifact detection, scene/context classification, personalization embeddings, preference modeling).
• Design solutions that can run on-device (quantized, efficient inference) and/or scale in cloud pipelines (batch evaluation, fleet learning, offline training + on-device inference).
• Build personalization and adaptation strategies that integrate with DSP pipelines (e.g., model outputs drive adaptive EQ/DRC/spatial parameters) while maintaining stability and explainability.
• Define data collection and labeling strategies, data QA, augmentation, bias checks, and experiment tracking—so results are reproducible and transferable to product.
• Apply compression/acceleration techniques (quantization, pruning, distillation, ONNX export, hardware-aware training) to meet latency and footprint constraints.
• Partner with DSP, perceptual, and productization engineers to deliver reference pipelines, integration guidelines, and acceptance metrics for OneUX releases.
• Use modern AI tooling (LLM-based coding assistants, data analysis copilots, automated report generation) to accelerate iteration while keeping rigorous review and validation.
Qualifications:
Required:
• Education: MS or PhD in CS/EE/Statistics/Applied ML (or BS with strong equivalent experience).
• Experience: 5+ years applied ML engineering experience; 2+ years specifically in audio/speech or time-series ML strongly preferred.
• ML Stack: Strong proficiency in Python, PyTorch/TensorFlow, dataset pipelines, evaluation methodology, and experiment tracking.
• Deployment Skills: Experience deploying models to embedded (TFLite / ONNX Runtime / custom inference) and/or cloud (service or batch pipelines, MLOps practices).
• Signal + Perception Understanding: Working knowledge of DSP/audio fundamentals and how ML interacts with perceptual outcomes.
• AI Tools: Demonstrated experience using AI-assisted tools to speed up coding, testing, debugging, and documentation.
Preferred:
• Experience with audio ML domains (speech enhancement, denoising, source separation, spatial audio ML, perceptual audio metrics, recommendation/personalization).
• Familiarity with on-device acceleration (NNAPI, Core ML concepts, CUDA/TensorRT-like optimization where applicable).
• Experience with privacy-preserving learning or on-device personalization approaches.
• Patents/publications or shipped ML features in consumer/automotive audio products.
Company:
Headquartered in Stamford, Connecticut, HARMAN (harman.com) designs and engineers connected products and solutions for automakers, consumers, and enterprises worldwide, including connected car systems, audio and visual products, enterprise automation solutions; and services supporting the Internet of Things. Founded in 1980, the company is headquartered in Stamford, USA, with a team of 10001+ employees. The company is currently Late Stage.

Apply