ZipRecruiter

Log In

1

Audio Machine Learning Jobs (NOW HIRING)

Magnopus

Machine Learning Engineer II

Los Angeles, CA · On-site

$100K - $150K/yr

Magnopus is looking for a Machine Learning Engineer who thrives at the intersection of product ... Develop internal tools using ML to streamline workflows for production, art, animation, or audio ...

Kitware

Machine Learning Engineer

Clifton Park, NY · On-site

$85K - $125K/yr

... images, video, metadata, audio, and text, and we recognize the need for robust, affordable ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Kitware

Machine Learning Engineer

New York, NY · On-site

$85K - $125K/yr

... images, video, metadata, audio, and text, and we recognize the need for robust, affordable ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

... images, video, metadata, audio, and text, and we recognize the need for robust, affordable ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

... images, video, metadata, audio, and text, and we recognize the need for robust, affordable ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

... images, video, metadata, audio, and text, and we recognize the need for robust, affordable ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Kitware

Machine Learning Engineer

Clifton Park, NY

... images, video, metadata, audio, and text, and we recognize the need for robust, affordable ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Kitware

Machine Learning Engineer

Arlington, VA · On-site

$110K - $160K/yr

... images, video, metadata, audio, and text, and we recognize the need for robust, affordable ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Apple

Machine Learning Engineer - LLM

Cupertino, CA

$147K - $220K/yr

We are seeking a highly capable and dynamic Machine Learning Engineer to work cross-functional in building out a GenAI system in support of Beats and Apple Audio products. The ideal candidate thrives ...

Spotify

Staff Machine Learning Engineer

Spotify is a leading audio streaming subscription service that aims to unlock the potential of human creativity. They are seeking a Staff Machine Learning Engineer to join the Personalization team ...

Netflix

OR

$523K - $920K/yr

We are seeking an experienced Machine Learning leader to lead a team of Research Scientists and ... Responsibilities Lead a broad portfolio of end-to-end initiatives in multimodal LLM and audio ...

Spotify

Staff Machine Learning Engineer

Spotify is a leading audio streaming subscription service, and they are seeking a Staff Machine Learning Engineer to join their Personalization team. This role involves designing, evaluating, and ...

next page

Showing results 1-20

All JobsAudio Machine Learning Jobs

Audio Machine Learning information

See salary details

$29.5K

$84.5K

$171.5K

How much do audio machine learning jobs pay per year?

As of Jun 10, 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.

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.

Machine Learning Engineer I

Techtronic Industries North America

Brookfield, WI

Other

Medical, Dental, Vision, Retirement

Posted 23 days ago

Job description

Job Description:

Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position at this time.

At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success - so we give you unlimited access to everything you need to create disruptive new technologies and solutions on our engineering teams. Our Engineering Team is responsible for giving life to the batteries, motors, and electronics that power solutions changing the lives of our users. Every developmental phase of these critical components happens in-house under the watch of this team. We continue to invest in engineering resources to design and develop leadership in electronic capabilities; something unique within the industry. And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence.

Your role on our team

As a Machine Learning Engineer, you will be a hands-on leader tasked with deploying machine learning models in creative ways while working with highly cross-functional teams to make power tool solutions that change the lives of our users. You will act as a technical expert in the creation and execution of these concepts into products, supporting the team through implementation, validation, and transfer to production.

This role requires excellent problem-solving skills, critical thinking, and the ability to work well under pressure in a dynamic environment. You will leverage strong technical communication skills and fundamental project management abilities to ensure clarity and alignment across teams. Additionally, you will demonstrate a strong sense of ownership for projects and tasks, with a clear understanding of how they connect to broader initiatives.

What TOOLS you'll bring with you (Required):

  • Bachelor of Science Degree in Computer Science, Computer Engineering, Electrical Engineering or other scientific or engineering discipline.

  • Completed course work or specialization in Machine Learning and/or Data Science

  • Demonstrated experience applying fundamental machine learning algorithms and techniques in a non-coursework setting (e.g. unsupervised or supervised learning, classification/regression, dimensionality reduction, model optimization)

  • Demonstrated experience with machine learning and AI methods such as CNNS, transformers, or computer vision

  • Proficient developing and debugging code in Python

  • Proficiency in Python, with extensive experience in common libraries (NumPy, pandas, scikit-learn, Matplotlib, etc.)

  • Proficiency with at least one deep learning framework (e.g. PyTorch of Tensor Flow)

  • Sold mathematical foundation in statistics, linear algebra, calculus and optimization

  • Ability to travel up to 10% of the time (domestic and international).

Other TOOLS you may have (Preferred):

  • Master's degree or PhD in Machine Learning or related field

  • At least one year of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing or a related field are preferred

  • Experience with time series modelling, especially with related domains such as NLP, SLAM, forecasting, or audio/video processing

  • Proficient developing and debugging code in an embedded environment in a programming language such as C or C++ Experience working with modern software development tools and version control tools

We provide these great perks and benefits:

  • Robust health, dental and vision insurance plans.

  • Generous 401 (K) savings plan.

  • Education assistance.

  • On-site wellness, fitness center, food, and coffee service.

  • And many more, check out our benefits site HERE (https://www.milwaukeetool.jobs/Benefits) .

Milwaukee Tool is an equal opportunity employer.

Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled

We endeavor to make this site accessible to any and all users. If you need to contact us regarding technical accessibility of our website call 443-391-1542. This number is only for technical accessibility issues, not general employment or job posting inquiries.

Apply