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Audio Machine Learning Jobs (NOW HIRING)

Apex Informatics

Machine Learning Engineer

Applied Machine Learning Engineer | Music Software (Multiple Roles open) Role: Applied Machine ... audio and other unstructured data. • Collaborate with Product and Engineering teams to ensure ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

Responsibilities : • Design, build, and optimize scalable machine learning pipelines for multimodal model training, fine-tuning, and evaluation across text, image, audio, video, and 3D data. • ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

Responsibilities : • Design, build, and optimize scalable machine learning pipelines for multimodal model training, fine-tuning, and evaluation across text, image, audio, video, and 3D data. • ...

Hive

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP * 2+ years experience managing machine learning teams * You have an ability to understand and make ...

GN Group

Machine Learning Engineer - Edge

Dover, NH · On-site +1

$86K - $135K/yr

Machine Learning Engineer - Edge *Please consider before applying: This is a hybrid role, and ... Fundamentals of audio and speech signal processing. Pay Transparency Notice * Depending on your ...

GN Group

Machine Learning Engineer - Edge

Lowell, MA · On-site +1

$86K - $135K/yr

Machine Learning Engineer - Edge *Please consider before applying: This is a hybrid role, and ... Fundamentals of audio and speech signal processing. Pay Transparency Notice * Depending on your ...

GN Hearing

Machine Learning Engineer - Edge

Dover, NH · On-site +1

$86K - $135K/yr

Machine Learning Engineer - Edge *Please consider before applying: This is a hybrid role, and ... Fundamentals of audio and speech signal processing. Pay Transparency Notice * Depending on your ...

GN Group

Machine Learning Engineer - Edge

Dover, NH · On-site

$86K - $135K/yr

Machine Learning Engineer - Edge *Please consider before applying: This is a hybrid role, and ... Fundamentals of audio and speech signal processing. Pay Transparency Notice * Depending on your ...

GN Group

Machine Learning Engineer - Edge

Dover, NH · On-site +1

$86K - $135K/yr

Machine Learning Engineer - Edge *Please consider before applying: This is a hybrid role, and ... Fundamentals of audio and speech signal processing. Pay Transparency Notice * Depending on your ...

Cohere

Audio Inference Engineer, Model Efficiency

Responsibilities : • Build reliable machine learning systems and optimize audio inference serving efficiency using innovative techniques. • Advance core audio model serving metrics, including ...

Google

Applied AI Engineer, Audio, XR

Mountain View, CA · On-site

Innovate in audio machine learning through fundamental and applied research, advancing the state-of-the-art in audio playback, capture, generation, and editing. * Research and develop novel ML models ...

Cohere

Audio Inference Engineer, Model Efficiency

Responsibilities : • Build reliable machine learning systems and optimize audio inference serving efficiency using innovative techniques. • Advance core audio model serving metrics, including ...

Hive

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

You have successfully trained and deployed a deep learning machine model (image, NLP, video, or audio) into production, with measurably improved performance over baseline, either in industry or as a ...

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$84.5K

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How much do audio machine learning jobs pay per year?

As of Jun 18, 2026, the average yearly pay for audio machine learning in the United States is $84,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $113,000.00 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 is the salary of audio AI engineer?

The salary of an audio AI engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Professionals with expertise in machine learning, signal processing, and programming languages like Python or TensorFlow tend to earn higher salaries.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, extensive experience, and may include stock options or bonuses, especially in large tech companies or startups. Compensation at this level reflects significant expertise and responsibility in developing and deploying AI systems.

Which 5 jobs will survive AI?

Audio Machine Learning professionals are likely to continue in roles that require creative interpretation, complex problem-solving, and domain expertise, such as audio engineers, sound designers, data scientists, AI specialists, and research scientists. These roles involve tasks that are difficult to fully automate, especially those requiring nuanced understanding of sound and human perception. Skills in programming, signal processing, and domain-specific knowledge will remain valuable in these jobs.

What engineers make $500,000?

Senior audio machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency in tools like Python and TensorFlow can reach salaries of $500,000 or more, especially in high-cost-of-living areas or at leading tech companies. Achieving this level often requires a strong track record, specialized knowledge in audio processing, and sometimes equity or bonuses as part of compensation packages.
More about Audio Machine Learning jobs
What cities are hiring for Audio Machine Learning jobs? Cities with the most Audio Machine Learning job openings:
What are the most commonly searched types of Audio Machine Learning jobs? The most popular types of Audio Machine Learning jobs are:
What states have the most Audio Machine Learning jobs? States with the most job openings for Audio Machine Learning jobs include:
What job categories do people searching Audio Machine Learning jobs look for? The top searched job categories for Audio Machine Learning jobs are:
Audio Machine Learning jobs near you
Infographic showing various Audio Machine Learning job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, 25% Part Time, and 25% Temporary. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $84,456 per year, or $40.6 per hour.
Audio AI Researcher: Build Steerable Speech Systems

Audio AI Researcher: Build Steerable Speech Systems

Menlo Ventures

San Francisco, CA • On-site

$350K - $500K/yr

Full-time

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

Job description

A leading AI research company in San Francisco is hiring for a position on their Audio team. The role involves developing and training advanced audio models, optimizing performance, and working collaboratively across teams. Ideal candidates will have strong expertise in JAX or PyTorch, a background in audio machine learning, and a passion for creating safe, reliable AI systems.

The compensation ranges from $350,000 to $500,000, and the position offers flexible working hours and a supportive team environment. #J-18808-Ljbffr

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