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Research Scientist Audio Jobs (NOW HIRING)

We are seeking Research Scientists (across all levels of seniority) to join our Artist-First AI ... What You'll Do Conduct groundbreaking research in generative audio using diffusion or flow matching ...

We are seeking Research Scientists (across all levels of seniority) to join our Artist-First AI ... What You'll Do Conduct groundbreaking research in generative audio using diffusion or flow matching ...

We are seeking Research Scientists (across all levels of seniority) to join our Artist-First AI ... Editing -- Research in iterative music generation and audio editing, including capabilities such as ...

Research Scientist

San Francisco, CA ยท On-site

$210K - $360K/yr

About David AI David AI is the first audio data research company. We bring an R&D approach to data ... About this role As a Research Scientist at David AI you'll build cutting-edge speech and audio ...

They are seeking a Research Scientist to develop and fine-tune models for video and audio data processing and enhancement, as well as conduct data-oriented research to improve multimodal quality.

About The Role As a Research Scientist at Phonic, you'll drive original research that pushes the ... Deep expertise in at least one of: speech synthesis, ASR, audio modeling, language modeling, or ...

About The Role As a Research Scientist at Phonic, you'll drive original research that pushes the ... Deep expertise in at least one of: speech synthesis, ASR, audio modeling, language modeling, or ...

We're looking for a Research Scientist who can define what "better" actually means across all of ... Deep familiarity with speech and audio quality metrics -- perceptual (MOS, MUSHRA, PESQ, STOI ...

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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 Sep 10, 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.

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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 are popular job titles related to Research Scientist Audio jobs?

For Research Scientist Audio jobs, the most frequently searched job titles are:

Infographic showing various Research Scientist Audio job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 88% Full Time, 9% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

ML Research Scientist, Audio Algorithms

Mountain View, CA โ€ข On-site

Socket.dev
Network Securityย โ€ขย 1 - 10 employees

Other

Posted 4 days ago


Job description

Minimum qualifications:
  • PhD in Computer Science, a related field, or equivalent practical experience.
  • 2 years of experience leading a research agenda.
  • Experience developing and training machine learning algorithms specifically for audio applications (e.g., neural noise suppression, acoustic modeling, or speech enhancement).
  • Experience with deep learning frameworks such as JAX or TensorFlow applied to signal processing tests.
  • One or more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).
Preferred qualifications:
  • Experience in algorithm implementation and prototyping using C++ and Python.
  • Experience taking theoretical ML-audio research ideas and implementing functional product proofs-of-concept.
  • Experience navigating high-ambiguity research environments where the priority is delivering massive user differentiation over a specific method.
  • Experience in developing foundational elements for ML based voice/audio algorithms.
About the job:

Join a new, high-velocity "startup-style" Applied Research team within TechEng dedicated to transformational audio bets for the next decade of Pixel and Buds. You will lead exploratory, non-timeline-based research into Open Ear Inteligibility and Superhuman Hearing for humans and machines.

We operate under a "Shielded but Connected" modelโ€”protected from the gravitational pull of daily product cycles to focus on pure feasibility and first-principles innovation. In this role, you will adopt an impact-first philosophy, ruthlessly prioritizing massive user differentiation to prove the "impossible" and define the foundational elements of agentic audio experiences. If you are an audio architect who grows in lean environments and wants to build the future of sound, this is your team.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:
  • Develop new and advanced algorithms for "moonshot" audio initiatives specifically real time perception for humans and AI operating outside the gravitational pull of immediate product timelines.
  • Architect first-principles algorithms that bridge the gap between theoretical research and validated prototypes, proving feasibility before scaling.
  • Adopt an impact-first philosophy, prioritizing massive user differentiation and maintaining the agility to pivot when technical paths do not yield high-order breakthroughs.
  • Foster a "Shielded but Connected" environment, protecting the team's research velocity while providing technical guidance to core execution teams on future-decade issues.
  • Collaborate alongside a small group of researchers (including Principal-level leadership) to define the foundational elements of next-generation agentic audio.
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