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Audio Machine Learning Jobs in Seattle, WA (NOW HIRING)

Meta

Research Acoustic Systems Engineer

Redmond, WA

$173K/yr

Define objective audio performance targets and KPIs for research hardware * Lead factory test ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Outreach

Senior Applied Scientist

Seattle, WA · On-site

$140K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

We operate at the intersection of machine learning, LLM-powered systems, and cloud-scale ... Experience with speech-to-text systems or real-time audio/voice processing. * Familiarity with ...

Outreach

Senior Applied Scientist

Seattle, WA · On-site

$140K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

We operate at the intersection of machine learning, LLM-powered systems, and cloud-scale ... Experience with speech-to-text systems or real-time audio/voice processing. * Familiarity with ...

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Showing results 41-60

All JobsAudio Machine Learning JobsAudio Machine Learning Jobs in Seattle, WA

Audio Machine Learning information

See Seattle, WA salary details

$33.6K

$96.1K

$195.2K

How much do audio machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for audio machine learning in Seattle, WA is $96,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $128,600.00 per year, depending on experience, location, and employer.

What is an audio machine learning?

An Audio Machine Learning job involves developing algorithms and models that analyze, process, and generate audio data. Responsibilities typically include working with speech recognition, music analysis, sound classification, and audio enhancement. Professionals in this field use deep learning, signal processing, and neural networks to improve audio-based applications like voice assistants, noise reduction systems, and music recommendation engines. They often work with datasets of speech, music, or environmental sounds to build models that understand and manipulate audio signals effectively.

What does an audio machine learning do?

Professionals in Audio Machine Learning typically spend their days designing, developing, and optimizing machine learning models tailored to audio data, such as speech or music recognition systems. You may also preprocess large datasets, extract and engineer relevant features, and collaborate closely with data scientists, audio engineers, and software developers to integrate your work into larger applications. Regular tasks often include running experiments, evaluating model performance, tuning hyperparameters, and keeping up with the latest advancements in the field. Team meetings, code reviews, and presenting findings to stakeholders are also common parts of the workweek.

What are the key skills and qualifications needed to thrive in audio machine learning?

To thrive in Audio Machine Learning, you need a strong background in machine learning, digital signal processing, and proficiency with programming languages such as Python or MATLAB, typically supported by a relevant degree in computer science, electrical engineering, or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with audio libraries (e.g., Librosa), and knowledge of cloud computing tools are highly valued, as are certifications in AI or data science. Strong problem-solving skills, creativity, and effective communication are essential soft skills for success in this field. These skills are crucial for developing innovative solutions, collaborating across multidisciplinary teams, and addressing complex audio data challenges in real-world projects.

What are the most commonly searched types of Audio Machine Learning jobs in Seattle, WA?

The most popular types of Audio Machine Learning jobs in Seattle, WA are:

What are popular job titles related to Audio Machine Learning jobs in Seattle, WA?

For Audio Machine Learning jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Audio Machine Learning jobs in Seattle, WA look for?

The top searched job categories for Audio Machine Learning jobs in Seattle, WA are:

Audio Machine Learning jobs near you
Infographic showing various Audio Machine Learning job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $96,113 per year, or $46.2 per hour.

Course Author Position: Online Master's Degree in Artificial Intelligence

DigiPen

Redmond, WA • On-site

$10K - $10K/mo

Part-time

Re-posted 6 hours ago

Job description

Located in Redmond, Washington, DigiPen Institute of Technology is a private college that offers undergraduate degree programs in Computer Science, Game Design, Digital Audio and Music, and Digital Art and Animation, as well as Master's degree programs in Computer Science and Digital Art.
DigiPen Institute of Technology has been ranked one of the top 5 game design schools in the country by the Princeton Review for more than a decade. To learn more, visit: https://www.digipen.edu/ .
Adjunct Faculty - Course Author Position: Online Master's Degree in Artificial Intelligence
Position Type
Adjunct Faculty as Course Authors for the program.
Position Overview
DigiPen is seeking experienced and passionate practitioners in Artificial Intelligence to develop / author courses for our online Master of Science in Artificial Intelligence (MSAI) program. This is an exciting opportunity to shape the next generation of AI practitioners and contribute to a cutting-edge curriculum that prepares students for leadership roles in the rapidly evolving field of artificial intelligence.
About the Program
Our online MSAI program combines rigorous academic foundations with practical, industry-relevant applications. Students engage with state-of-the-art techniques in machine learning, deep learning, natural language processing, computer vision, and ethical AI development. The program is designed for working professionals and recent graduates seeking to advance their careers in AI.
Key Responsibilities
- Course Authoring
  • Collaborate with a professional Instructional Designer to develop engaging, high-quality online instruction in one or more AI-related courses
  • Develop and update course materials, including lectures, tutorials, assignments, projects, and assessments
  • Ensure course content is technically accurate, industry-relevant, and appropriate for an online learning environment

- Course Quality & Alignment
  • Stay current with developments in AI technology, pedagogy, and industry applications
  • Provide periodic updates as necessary to keep the course material current
  • Collaborate with faculty colleagues to maintain curriculum quality and coherence
  • Contribute to program assessment and continuous improvement efforts

Required Qualifications
  • Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related field
  • Minimum 4 years of relevant professional experience in AI/ML (development or applied research)
  • Strong expertise in at least one of the following areas: machine learning, deep learning, natural language processing, computer vision, reinforcement learning, or AI ethics
  • Proficiency with Python and major AI/ML frameworks (PyTorch, TensorFlow, scikit-learn etc.)
  • Excellent communication skills and ability to explain complex technical concepts clearly

Preferred Qualifications
  • Demonstrated teaching experience
  • Experience with online learning platforms and virtual instruction methodologies
  • Experience teaching in online or hybrid learning environments
  • Proven ability to engage and support diverse student populations
  • Published research in AI-related conferences or journals
  • Experience mentoring graduate students or early-career professionals
  • Contributions to open-source AI projects or educational resources
  • Knowledge of current trends in responsible AI and ethical considerations in AI development

Desired Areas of Course Development
  • Foundations of Machine Learning
  • Deep Learning and Neural Networks
  • Natural Language Processing
  • Computer Vision
  • Reinforcement Learning
  • AI Ethics and Responsible AI
  • Generative AI and Large Language Models
  • AI for Business Applications
  • Advanced Topics in AI Research

Salary Range:
$10,000 - $10,500
Not benefits eligible.
This Course Author job may not align with the academic calendar. The duration of the position may vary, based on rate of progress and time of year, but will typically be five months from start date.
Application Procedure:
Applications should include, or you will be asked to provide, the following:
  • A cover letter
  • Current curriculum vitae / résumé
  • Academic Transcripts of most recently attended educational institutions (unofficial is acceptable for the application, with an official copy requested later)

The following optional materials may be included:
  • Statement of teaching philosophy
  • Copy of most recent teaching evaluations

Upon accepting an offer of employment with us, the candidate will receive an invitation for a required background check, employment verification, and 5-panel drug screen as a part of the hiring process.
Additional Notes:
All Adjunct positions are part-time, temporary assignments, dependent upon student enrollment and instructional needs, and subject to budget consideration and approval. DigiPen Institute of Technology reserves the right to extend application deadlines and/or not to offer advertised positions.
Equal opportunity is a priority of DigiPen Institute of Technology, as the institution is committed to fostering a positive learning environment for all. The Institute's intent is to hire the most qualified individuals for faculty and staff, attracting candidates from diverse backgrounds of race and ethnicity, gender, gender identity, gender expression, sexual orientation, age, socioeconomic status, veteran status, nationality, culture, religion, and physical abilities. We are committed to broadening our candidate pool to include more diverse individuals and ensuring fairness in hiring by avoiding bias and determining criteria to judge all candidates prior to posting each new position.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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