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Music Ai Audio Python Jobs in Seattle, WA (NOW HIRING)

Catalyst Labs

ML Engineer

Seattle, WA · On-site

... and deliver AI-powered solutions enabling natural speech interaction and real-time audio ... Python (TypeScript experience is a plus). • Hands-on experience with ML frameworks such as ...

Infotech Sourcing

Acoustic Test Engineer

Kirkland, WA · On-site

... Python and/or MATLAB) to operate measurement tools and run analysis scripts - Reliable, organized ... science, music/audio technology, biomedical engineering, or a related technical field -- or ...

Infotech Sourcing

Acoustic Test Engineer

Kirkland, WA · On-site

... Python and/or MATLAB) to operate measurement tools and run analysis scripts - Reliable, organized ... science, music/audio technology, biomedical engineering, or a related technical field -- or ...

Meta

AI Research Scientist, Robotics

Redmond, WA

$219K/yr

... text, audio, tactile, etc.) * Investigate paradigms that can deliver a spectrum of embodied ... Experience with deep learning frameworks (such as PyTorch, Tensorflow) and Python * Experience ...

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Showing results 21-40

All JobsMusic Ai Audio Python JobsMusic Ai Audio Python Jobs in Seattle, WA

Music Ai Audio Python information

See Seattle, WA salary details

$26.2K

$159.3K

$230.4K

How much do music ai audio python jobs pay per year?

As of Aug 9, 2026, the average yearly pay for music ai audio python in Seattle, WA is $159,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,800.00 and $187,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Music AI Audio Python developers when integrating AI models into digital audio workstations (DAWs)?

Music AI Audio Python developers often encounter challenges when integrating AI models into DAWs, such as ensuring low-latency audio processing and maintaining compatibility with various audio formats and plugin standards. Additionally, developers must optimize AI models for real-time performance while balancing computational efficiency. Collaboration with audio engineers and musicians is common, as their feedback helps refine features and improve usability. Staying updated with the latest advancements in both AI and audio technology is also crucial for success in this dynamic role.

What are the key skills and qualifications needed to thrive as a Music AI Audio Python engineer?

To thrive as a Music AI Audio Python Engineer, you need a strong background in computer science, digital signal processing, and music theory, typically supported by a degree in a related field. Proficiency in Python, machine learning frameworks like TensorFlow or PyTorch, and audio libraries such as librosa is essential. Creative problem-solving, strong communication, and adaptability help you collaborate with interdisciplinary teams and innovate in music technology. These skills enable the development of advanced AI-driven music applications that meet both technical and artistic requirements.

What is the difference between Music Ai Audio Python vs Music Producer?

AspectMusic Ai Audio PythonMusic Producer
Required SkillsProgramming, AI, audio processingMusic theory, production, sound engineering
Work EnvironmentTech companies, studios, research labsRecording studios, production houses, live events
CertificationsPython, AI, audio engineering certificationsMusic production, sound engineering certifications
Industry UsageDeveloping AI tools for music creation and analysisCreating, mixing, and producing music tracks

Music Ai Audio Python focuses on developing AI-driven audio applications using Python, requiring programming and technical skills. In contrast, a Music Producer is involved in the creative and technical process of making music, emphasizing musical skills and industry experience. Both roles are essential in the music industry but serve different functions and skill sets.

What is a Music AI Audio Python developer?

A Music AI Audio Python developer is a software engineer or data scientist who specializes in creating tools, models, or applications that use artificial intelligence to analyze, generate, or manipulate music and audio data, primarily using the Python programming language. They work with machine learning libraries and audio processing frameworks to build applications such as music recommendation systems, audio classification tools, or AI-based music composition software. These professionals combine knowledge of music theory, digital signal processing, and AI to develop innovative solutions in the audio technology space.
What are popular job titles related to Music Ai Audio Python jobs in Seattle, WA? For Music Ai Audio Python jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Music Ai Audio Python jobs in Seattle, WA look for? The top searched job categories for Music Ai Audio Python jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Music Ai Audio Python jobs? Cities near Seattle, WA with the most Music Ai Audio Python job openings:
Music Ai Audio Python jobs near you
Infographic showing various Music Ai Audio Python job openings in Seattle, WA as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $159,291 per year, or $76.6 per hour.

Applied Perception Scientist

PROLIM Global Corporation

Redmond, WA • On-site

Full-time

Posted 29 days ago

Job description

Reality Labs Research at Meta is a leading research organization of world-class researchers, developers, and engineers, who collaborate to actively create a future where virtual and augmented reality become as indispensable as today's smartphones and personal computers.
The mission of the Reality Labs Research Audio team is to engineer augmented audio that redefines human hearing capabilities. This will allow us to connect people by facilitating conversation in even the most challenging auditory environment.
We are seeking a contract applied research scientist specializing in the perception of tonal languages. This role is an integral part of our team, contributing to our research and development efforts. The ideal candidate will help us explore and understand individualized audio quality preferences and experiences, enabling us to tailor our technologies to meet unique user needs.
Responsibilities
  • Oversee and drive research projects on speech quality, statistically analyze results and report findings.
  • Monitor problems, facilitate resolution, and proactively keep projects on track.
  • Implement and conduct pilot listening tests and other perceptual experiences.
  • Regularly report on project progress, dependencies and risks to stakeholders.
  • Support research scientists and engineers within the team.
  • Manage procurement projects for equipment and vendor services.
  • Willingness to "roll up sleeves" and take on operational tasks in support of the team's goals.

Minimum Qualifications
  • Interpersonal and communication skills, with strong attention to detail.
  • Proactive with ability to execute on multiple projects simultaneously.
  • Strong organizational and time management skills.
  • Track record of communicating research on speech perception, hearing sciences or auditory perception in an academic or industrial setting.
  • Experience with data collection with human participants.
  • Experience working in a fast-paced research and/or product development environment.
  • Experience with scientific programming languages such as Matlab, Python, C++, or R.
  • Master's degree or equivalent experience in Computational Neuroscience, Cognitive Science, Electrical Engineering, Perception, Experimental Psychology, Audio Engineering, Acoustics, Computer Science, Computer Engineering, Biomedical Engineering, Computational Audiology or a related field.

Preferred Qualifications
  • Experience with tonal languages.
  • PhD degree or equivalent experience.
  • Experience with AI generative speech.
  • Experience with modeling audio quality.

Candidate Requirements
Must-Have Skills
  1. Experience with statistical analysis of behavioral data (e.g., mixed-effects models, signal detection theory, psychometric methods).
  2. Work experience in perceptual or psychophysical research with a track record of successful project completion.
  3. Experience with scientific programming languages such as Python, MATLAB, R, or C++.

Nice-to-Have Skills
  1. Advanced Education: PhD degree or equivalent experience.
  2. AI Experience: Experience with AI generative speech.
  3. Audio Modeling: Experience with modeling audio quality.

Ideal Candidate:
looking for someone with extensive academic experience: the ideal candidate is a card-carrying perception scientist (typically: cognitive science, neuroscience, neural engineering) who has personally designed and ran lots of perception studies and who has at least dabbled in computational models of perception. Someone who is currently a postdoc, a professor or a senior PhD student.

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