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

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 ...

Meta

AI Research Scientist, Robotics

Redmond, WA

$154K/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 About Meta: Meta ...

INSPYR Solutions

UX Researcher III

Redmond, WA · On-site

$54 - $74/hr

Title: UX Researcher - Audio & Augmented Reality (Quantitative UX Research) Location: Redmond, WA ... Programming experience using Python, R, or MATLAB for research workflows and metric development.

BC Forward

Acoustic Test Engineer

Redmond, WA · On-site

$59 - $67/hr

Basic scripting in Python and/or MATLAB to operate tools and run analysis scripts. Reliable ... music or audio technology, biomedical engineering, or a related technical field, or equivalent ...

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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 6, 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 Machine Learning Intern

WaveWorks Technologies Inc

Seattle, WA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Applied Machine Learning Intern
WaveWorks is building applied AI systems for real-world industrial environments. We are seeking a hands-on Applied Machine Learning Intern to work directly on live deployment data, develop modeling approaches, and take ownership of analysis for an active site.
RESPONSIBILITIES
  • Process, clean, and structure large-scale audio/time-series datasets
  • Align data with ground truth and validate data quality
  • Develop and evaluate modeling approaches for predictive maintenance
  • Design and run structured experiments, analyze results, and document findings
  • Improve data workflows and evaluation pipelines

REQUIRED QUALIFICATIONS
  • Pursuing a degree in Computer Science, Electrical Engineering, Data Science, or related field
  • Strong Python skills
  • Experience with ML frameworks (PyTorch, TensorFlow, or scikit-learn)
  • Comfortable working with real-world, noisy datasets
  • Strong analytical and documentation skills

PREFERRED QUALIFICATIONS
  • MS or PhD candidate in a relevant technical field
  • Experience with audio processing or time-series feature engineering
  • Familiarity with anomaly detection
  • Exposure to signal processing concepts (FFT, spectrograms, filtering)
  • Experience designing and evaluating structured ML experiments
  • Self-driven and comfortable operating in an early-stage environment

WaveWorks is committed to a friendly and welcoming working environment. WaveWorks does not discriminate based on race, gender, age, religious affiliation, or any other legally protected status.
WaveWorks is located in downtown Seattle, Washington.

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