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Research Scientist Audio Jobs in Bothell, WA (NOW HIRING)

Infotech Sourcing

Research Scientist III

Redmond, WA · On-site

Research Scientist III Location: Redmond WA Onsite Duration: 12 months with possible extension ... audio, graphics, brain-computer interface, haptic interaction, eye/hand/face/body tracking ...

Meta

AI Research Scientist, Robotics

Redmond, WA · On-site

$154K/yr

The ideal Research Scientist candidate will use their skills in system design and modeling and ... text, audio, tactile, etc) * Investigate paradigms that can deliver a spectrum of embodied ...

Meta

AI Research Scientist, Robotics

Redmond, WA · On-site

$219K/yr

AI Research Scientist, Robotics Responsibilities: * Perform fundamental and applied research to ... text, audio, tactile, etc.) * Investigate paradigms that can deliver a spectrum of embodied ...

Prolim Global

Applied Perception Scientist

Redmond, WA · On-site

We are seeking a contract applied research scientist specializing in audio perception. This role is an integral part of our team, contributing to our research and development efforts. The ideal ...

Meta

AI Research Scientist, Robotics

Redmond, WA · On-site

$219K - $301K/yr

We're seeking a Research Scientist ready to use their skills in system design and modeling and with ... text, audio, tactile, etc.) • Investigate paradigms that can deliver a spectrum of embodied ...

Meta

AI Research Scientist, Robotics

Redmond, WA · On-site

$154K - $217K/yr

The ideal Research Scientist candidate will use their skills in system design and modeling and ... text, audio, tactile, etc) • Investigate paradigms that can deliver a spectrum of embodied ...

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All JobsResearch Scientist Audio JobsResearch Scientist Audio Jobs in Bothell, WA

Research Scientist Audio information

See Bothell, WA salary details

$56.5K

$145.5K

$194.5K

How much do research scientist audio jobs pay per year?

As of Jun 12, 2026, the average yearly pay for research scientist audio in Bothell, WA is $145,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,200.00 and $193,400.00 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.

What are popular job titles related to Research Scientist Audio jobs in Bothell, WA? For Research Scientist Audio jobs in Bothell, WA, the most frequently searched job titles are:
What cities near Bothell, WA are hiring for Research Scientist Audio jobs? Cities near Bothell, WA with the most Research Scientist Audio job openings:
Research Scientist Audio jobs near you
Infographic showing various Research Scientist Audio job openings in Bothell, WA as of June 2026, with employment types broken down into 33% Internship, 33% Full Time, and 34% Contract. Highlights an 100% In-person job distribution, with an average salary of $145,456 per year, or $69.9 per hour.
Research Scientist Intern, Audio Quality with AI (PhD)

Research Scientist Intern, Audio Quality with AI (PhD)

Meta

Redmond, WA

Internship

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

The Meta Reality Labs Research Team brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. And just as personal computers have done over the past 45 years, AR, VR and MR will ultimately change everything about how we work, play, and connect. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interfaces, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. Some of those will advance much faster than others, but they all need to happen to enable AR, VR and MR that are so compelling that they become an integral part of our lives.In particular, the Meta Reality Labs Research audio team is focused on two goals; creating virtual sounds that are perceptually indistinguishable from reality, and redefining human hearing. See more about our work here: Inside Facebook Reality Labs Research: The future of audio and Filter Out the Noise With Conversation Focus. These two initiatives will allow us to connect people by allowing them to feel together despite being physically apart, and allow them to converse in even the most difficult listening environments.Meta Reality Labs Research is looking for an intern who is passionate about speech perception and audio quality to investigate why processed speech sometimes sounds degraded or robotic. The project focuses on identifying systematic phonemic errors as causal factors in perceived quality degradation, and linking these errors to human quality and intelligibility judgments. A core method is to explore the capabilities of audio vs video LLMs. This is fundamentally a speech-perception research role; multimodal/LLM methods are a supporting tool rather than the central focus. Our internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Audio Quality with AI (PhD) Responsibilities:
  • Investigate systematic phonemic errors as causal factors in perceived speech quality degradation, and link them to human perceptual judgments
  • Build and curate datasets and benchmarks of speech for phoneme-level analysis
  • Explore and compare the capabilities of audio and video (multimodal) LLMs as tools to support this analysis
  • Relate findings to human perceptual data (quality preference and intelligibility) and translate them into actionable insights for research and engineering teams
  • Where appropriate, adapt multimodal models to the task in a supporting capacity
  • Collaborate with researchers, engineers, and cross-functional partners to define goals, communicate findings, and drive improvements in speech quality
  • Develop tools and infrastructure to streamline and scale the analysis
  • Stay current with research in speech perception and audio quality and intelligibility assessment, and incorporate best practices into Meta's workflows
  • Disseminate results through internal reports and presentations, and, when appropriate, external publications

Minimum Qualifications:
  • Currently has, or is in the process of obtaining, a PhD degree in the field of Speech and Hearing Science, Auditory Neuroscience, Computational Neuroscience, Computer Science, Artificial Intelligence, Generative AI, Transformer Models, Machine Learning, Signal Processing or Computer vision
  • 3+ years experience with Python, Matlab, or similar
  • 3+ years experience with machine learning software platforms such as PyTorch, TensorFlow, etc
  • Background in speech perception, psychoacoustics, or acoustic phonetics
  • Experience deploying novel audio computational models and LLMs
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:
  • Experience building novel audio computational models and LLMs
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. Github)
  • Experience in advancing AI techniques, including core contributions to open source libraries and frameworks in computer vision or audio processing
  • Experience with audio and speech quality assessment
  • Experience with multichannel audio processing
  • Experience in visual and acoustic scene analysis
  • Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or top computer vision and machine learning conferences such as ARO, ASA, NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ICCV, ECCV, ICASSP, InterSpeech or simila
  • Experience in utilizing theoretical and empirical research to solve problems
  • Experience working and communicating cross functionally in a team environment
  • Intent to return to a degree-program after the completion of the internship/co-op

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.
$7,650/month to $12,134/month + 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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