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Research Scientist Audio Jobs (NOW HIRING)

Retell AI

Research Scientist - LLM

San Francisco, CA · On-site

$225K - $400K/yr

You'll explore new approaches across LLMs and audio models, design novel evaluation methods, and ... Research & Experimentation - Explore and develop new techniques across LLMs and audio models to ...

Pindrop

Research Scientist II (Fraud)

What you'll do As a Research Scientist II on the Fraud Research team, you will help improve how ... Build and improve fraud risk models and scoring systems using a combination of audio, behavioral ...

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Research Scientist Audio information

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$50.5K

$130.1K

$174K

How much do research scientist audio jobs pay per year?

As of Aug 11, 2026, the average yearly pay for research scientist audio in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What does a research scientist in audio do?

A Research Scientist in Audio focuses on advancing the science and technology related to sound and audio processing. Their work often involves developing algorithms for speech recognition, sound classification, audio enhancement, and spatial audio technologies. They may conduct experiments, analyze data, and collaborate with engineers to create innovative solutions for applications such as virtual assistants, music technology, or hearing aids. This role typically requires a strong background in signal processing, machine learning, and acoustics. Research Scientists in Audio also publish their findings and contribute to the broader scientific community.

What are the key skills and qualifications needed to thrive as a research scientist in audio?

To thrive as a Research Scientist in Audio, you need advanced knowledge in signal processing, machine learning, and acoustics, usually supported by a PhD or equivalent experience in computer science, electrical engineering, or a related field. Familiarity with programming languages like Python or MATLAB, experience with deep learning frameworks (e.g., TensorFlow, PyTorch), and knowledge of audio analysis tools are essential. Strong analytical thinking, creativity, and effective communication skills distinguish top performers in this field. These competencies enable the development of innovative audio technologies and effective collaboration within multidisciplinary research teams.

How does a research scientist in audio typically collaborate with cross-functional teams during product development?

As a Research Scientist in audio, you will frequently work alongside software engineers, product managers, and UX designers to integrate cutting-edge audio algorithms into products. Collaboration often involves presenting research findings, prototyping solutions, and iterating based on feedback from both technical and non-technical team members. This role requires strong communication skills to bridge the gap between complex research concepts and practical implementation, ensuring that new audio technologies align with user needs and project goals.

What is the difference between Research Scientist Audio vs Audio Engineer?

AspectResearch Scientist AudioAudio Engineer
Required CredentialsMaster's or PhD in Acoustics, Audio Engineering, or related fieldsBachelor's degree in Audio Engineering, Sound Design, or related fields
Work EnvironmentResearch labs, universities, R&D departmentsRecording studios, live events, broadcasting facilities
Employer & Industry UsageAcademic institutions, tech companies, research organizationsMusic, film, broadcasting, live sound production

Research Scientist Audio focuses on developing new audio technologies and conducting experiments, often within academic or research settings. In contrast, Audio Engineers primarily operate sound equipment for recording, mixing, and live sound. While both roles require a strong understanding of audio principles, Research Scientists typically hold advanced degrees and work in R&D environments, whereas Audio Engineers often have practical experience and work directly with sound production equipment.

More about Research Scientist Audio jobs
What cities are hiring for Research Scientist Audio jobs? Cities with the most Research Scientist Audio job openings:
What states have the most Research Scientist Audio jobs? States with the most job openings for Research Scientist Audio jobs include:
What job categories do people searching Research Scientist Audio jobs look for? The top searched job categories for Research Scientist Audio jobs are:
Research Scientist Audio jobs near you
Infographic showing various Research Scientist Audio job openings in the United States as of August 2026, with employment types broken down into 63% Full Time, 33% Part Time, and 4% Contract. Highlights an 100% In-person job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Senior Research Scientist for Generative AI

Nvidia Corporation

Santa Clara, CA • On-site

$115K - $147K/yr

Full-time

Re-posted 24 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

We are now looking for a Senior Research Scientist for Generative AI!
NVIDIA is searching for a world-class researcher in generative AI to join our research team. You will be conducting original research for generative AI applications, including image generation, video generation, 3D generation, and audio generation. You will be working with a team of world-class researchers eager to make great impacts with generative AI models. You will be building research prototypes and scaling them with large datasets and compute. After building prototypes that demonstrate the promise of your research, you will work with product teams to help them integrate your ideas into products.
What you'll be doing:
  • Conduct original research in the space of generative AI
  • Implement and train large-scale generative AI models for various content creation applications
  • Collaborate with other research team members, a diverse set of internal product teams, and external researchers
  • Have a broader impact through the transfer of the technology you've developed to relevant product groups

What we need to see:
  • Ph.D. in Computer Science/Engineering, Electrical Engineering, or a related field (or equivalent experience).
  • 5+ years of relevant research experience.
  • Excellent collaboration and interpersonal skills
  • Excellent python/C++ programming skills
  • Great knowledge of common deep-learning frameworks
  • Experience in processing or curating large-scale datasets
  • Excellent knowledge of theory and practice of deep learning, computer vision, natural language processing, or computer graphics
  • Track record of research excellence or significant product development

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous research scientist with a genuine passion for advancing the state of AI? If so, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until February 23, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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