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

Electronic Arts (EA)

Applied AI Researcher

Kirkland, WA · On-site

Required : • PhD or Master's in Computer Science, Machine Learning, Artificial Intelligence, or a ... audio, 3D, or other creative content domains. Company : Electronic Arts creates next-level ...

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Meta

AI Research Scientist, Robotics

Redmond, WA

$219K/yr

... text, audio, tactile, etc.) * Investigate paradigms that can deliver a spectrum of embodied ... Develop algorithms based on state-of-the-art machine learning and neural network methodologies

Meta

AI Research Scientist, Robotics

Redmond, WA

$154K/yr

... text, audio, tactile, etc) * Investigate paradigms that can deliver a spectrum of embodied ... Develop algorithms based on state-of-the-art machine learning and neural network methodologies

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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 Jul 13, 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 are the key skills and qualifications needed to thrive in the Audio Machine Learning position, and why are they important?

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.

Will MLE be replaced by AI?

In the context of an Audio Machine Learning (ML) role, AI tools and automation are increasingly used to assist with tasks like data processing and model deployment. However, MLE professionals are essential for designing, tuning, and maintaining complex models, making complete replacement unlikely in the near term. Human expertise remains critical for interpreting results and ensuring system performance.

What are the typical daily responsibilities of someone working in Audio Machine Learning?

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 is an Audio Machine Learning job?

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.

Which 5 jobs will survive AI?

Audio Machine Learning specialists are likely to continue in demand as AI advances because their expertise in developing and refining audio recognition systems requires specialized skills that are difficult to automate fully. Roles involving creative audio design, audio engineering, and human oversight of AI systems are also expected to persist. These jobs often require a combination of technical knowledge, domain expertise, and critical thinking that AI cannot easily replace.

What engineer makes $500,000 a year?

Senior audio machine learning engineers with extensive experience, advanced skills in deep learning and signal processing, and often working at large tech companies or specialized research labs can earn salaries approaching or exceeding $500,000 annually. Compensation typically includes base salary, bonuses, and stock options, especially in high-demand industries like AI and audio processing.

Do audio engineers get paid well?

Audio engineers typically earn competitive salaries that vary based on experience, location, and industry sector. Entry-level positions may start lower, but experienced professionals working in recording studios, broadcasting, or live sound often have higher earnings, especially with specialized skills and certifications. Overall, the profession offers the potential for good compensation, particularly for those with technical expertise and a strong portfolio.
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
Senior Research Engineer, Generative Prototyping

Senior Research Engineer, Generative Prototyping

Adobe

Seattle, WA • On-site

$118K - $163K/yr

Full-time

Re-posted 5 days ago

Job description

Job Summary:
Adobe is a leading company in creative software and tools, and they are seeking a Senior Research Engineer to pioneer the future of Generative AI video authoring. This role involves leading the invention and prototyping of novel video authoring experiences and collaborating closely with filmmakers to translate creative needs into working systems.
Responsibilities:
• Lead the invention, prototyping, and iteration of user-facing GenAI experiences with production-level rigor.
• Architect and integrate heterogeneous models (in-house and third-party) across text, image, audio, and video into cohesive, agentic workflows.
• Build multimodal editing and conversational interfaces for next-generation creative tools.
• Collaborate closely with filmmakers and creative professionals in tight feedback loops, running structured user studies and evaluations to refine prototypes.
• Shape strategic direction by staying ahead of emerging trends in controllable generation, agentic workflows, and multimodal systems.
• Establish best practices that bridge research and productization, mentor others, and enable the team to scale.
Qualifications:
Required:
• MS or higher in Computer Science, Machine Learning, or a related field.
• 5+ years of relevant industry experience in a senior research or engineering capacity.
• Significant hands-on experience with GenAI models across multiple modalities (text, image, audio, video).
• Proven track record of rapid prototyping and iterative development for user-facing applications, with production-level quality.
• Deep knowledge of agentic workflows and controllable generation techniques.
• Demonstrated ability to bridge research and productization - turning ambiguous ideas into impactful, shipped prototypes.
• Excellent collaboration skills and direct experience working with end-users to drive product decisions.
Preferred:
• Ph.D. in Computer Science, Machine Learning, or related field.
• Track record of top-tier publications and recognized contributions to GenAI research.
• Experience leading or significantly contributing to multimodal systems and conversational interfaces at scale.
• Prior experience building creative tools or working with creative professionals.
Company:
Adobe is a software company that provides its users with digital marketing and media solutions. Founded in 1982, the company is headquartered in San Jose, USA, with a team of 10001+ employees. The company is currently Late Stage.
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About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982

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