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

Meta

Fundamental AI Researcher - FAIR

Seattle, WA

$154K/yr

... machines, particularly on topics around reasoning, alignment and memory * Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities) * Work ...

Meta

AI Research Scientist, Robotics

Redmond, WA · On-site

$219K - $301K/yr

... text, audio, tactile, etc.) • Investigate paradigms that can deliver a spectrum of embodied ... on state-of-the-art machine learning and neural network methodologies • Define, build and ...

Meta

AI Research Scientist, Robotics

Redmond, WA · On-site

$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

Meta

AI Research Scientist, Robotics

Redmond, WA · On-site

$154K - $217K/yr

... text, audio, tactile, etc) • Investigate paradigms that can deliver a spectrum of embodied ... machine learning and neural network methodologies • Define, build and benchmark new ...

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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 Jun 10, 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.

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.

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 June 2026, with employment types broken down into 63% Full Time, 29% Part Time, 4% Temporary, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $96,113 per year, or $46.2 per hour.
Research Scientist Intern, Monetization Generative AI - LLM (PhD)

Research Scientist Intern, Monetization Generative AI - LLM (PhD)

Meta

Bellevue, WA • On-site

$7K - $12K/mo

Internship

Posted 13 days ago

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

Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization. We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Responsibilities
Perform research to advance the science and technology of intelligent machines
• Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources
• Analyze and improve efficiency, scalability, and stability of various deployed systems
• Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
• Publish research results and contribute to research that can be applied to Meta product development
Minimum Qualifications
• Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Natural Language Processing, Speech Recognition, Sentiment Analysis, Computer Vision, or relevant technical field
• Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
• Experience with Python, C++, C, Java or other related language
• Experience with deep learning frameworks such as Pytorch or Tensorflow
• Experience building systems based on machine learning, deep learning methods, or natural language processing
Preferred Qualifications
• Experience with the development of enterprise level AI, Machine Learning, and Deep Learning platform involving big data management and GPU compute
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, or similar
• Experience with Large Language Models, on top of the latest research of text only input and multimodal input to large language models
• Experience with ML areas such as Natural Language Processing, Speech, Multimodal Reasoning & Retrieval, Visual Question & Answering
• Experience building systems based on machine learning, reinforcement learning and/or deep learning methods
• Experience working and communicating cross functionally in a team environment
• Experience with training deep neural networks for key NLP tasks
• Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
• Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
• Intent to return to 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.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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