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Research Scientist Audio Jobs (NOW HIRING)

The Research Scientist will lead original research, design novel architectures, and collaborate ... audio. Founded in 2023, the company is headquartered in San Francisco, USA, with a team of 11-50 ...

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 ...

Senior Research Scientist

San Francisco, CA · On-site

$116K - $147K/yr

The Opportunity The Speech AI Lab at Adobe Research is seeking a Senior Audio Research Scientist to join our speech generative AI and multimodal research efforts, based in San Francisco. This role is ...

Research and develop novel methods to push the frontier of large language models *Work across use ... Work cross-functionally with other scientists, engineers and product teams to ship AI systems which ...

Founding Research Scientist ABOUT THE ROLE This is a research-driven, high-impact role for ML ... You'll explore new approaches across LLMs and audio models, design novel evaluation methods, and ...

New

Founding Research Scientist ABOUT THE ROLE This is a research-driven, high-impact role for ML ... You'll explore new approaches across LLMs and audio models, design novel evaluation methods, and ...

New

Founding Research Scientist ABOUT THE ROLE This is a research-driven, high-impact role for ML ... You'll explore new approaches across LLMs and audio models, design novel evaluation methods, and ...

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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 Jun 12, 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, and why are they important?

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 specializing 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:
Infographic showing various Research Scientist Audio job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $130,117 per year, or $62.6 per hour.
AI Research Scientist, Audio-Visual Understanding, FAIR

AI Research Scientist, Audio-Visual Understanding, FAIR

Meta

San Francisco, CA • On-site, Remote

$154K/yr

Full-time

Posted yesterday


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

122nd of 188 rated software companies


Job description

Meta is seeking a Research Scientist to join Fundamental AI Research (FAIR), a research organization focused on making significant advances in AI. Our organization is driven by advancing the science of intelligence and developing technology toward achieving superintelligence. We are seeking researchers with experience in computer vision, speech and multimodal learning to join our team and help build the perceptual foundations for real-time embodied conversational agents. This role offers the opportunity to collaborate with a highly interdisciplinary team of scientists, engineers, and cross-functional partners, with access to cutting-edge technology, resources, and research facilities.
AI Research Scientist, Audio-Visual Understanding, FAIR Responsibilities:
  • Develop joint audio-visual understanding systems that integrate visual and auditory signals for advanced perception
  • Build and evaluate audiovisual language models for social interactions and understanding, including predicting social intent, semantic function, and reasoning from human-centric inputs
  • Contribute to benchmarks and evaluation frameworks for visual social understanding and interactions
  • Train and optimize state-of-the-art machine learning and neural network methodologies
  • Conduct and collaborate on research projects within a globally-based team

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • A PhD in AI, computer science, data science, or related technical fields
  • Experience holding an industry, postdoctoral, faculty, or government researcher position
  • Research background in machine learning, artificial intelligence, computational statistics, or applied mathematics, or related areas
  • Research publications reflecting experience in theoretical or empirical research
  • Experience in developing and debugging in Python or similar programming languages
  • Experience in analyzing and collecting data from various sources
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:
  • Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Experience with audio-visual learning or multimodal fusion techniques
  • Familiarity with human action recognition, social signal processing, or human-centric video understanding
  • Experience with long-form video understanding, video-language models, or streaming perception systems
  • Experience with vision-language models (VLMs) such as LLaVA, GPT-4V, Gemini, or similar architectures
  • Experience with temporal modeling, video transformers, or recurrent architectures for sequential data

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.
$154,000/year to $217,000/year + bonus + equity + 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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