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Audio Signal Processing Machine Learning Jobs (NOW HIRING)

RF signal processing, electronic warfare, optimization, array processing, machine learning, adaptive signal processing, AI/ML algorithm development, radar modeling, RF propagation * Ability to work ...

This role involves working on projects that fuse advanced signal processing, adaptive communications, advanced algorithms, and machine learning to develop solutions for systems that include adaptive ...

To support these missions, the Division's efforts span multiple technical areas, including RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms ...

To support these missions, the Division's efforts span multiple technical areas, including RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms ...

To support these missions, the Division's efforts span multiple technical areas, including RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms ...

Develop electronic warfare and radar system concepts, signal processing and machine learning algorithms, and RF solutions to remote sensing challenges * Provide technical leadership to small, multi ...

Develop electronic warfare and radar system concepts, signal processing and machine learning algorithms, and RF solutions to remote sensing challenges * Provide technical leadership to small, multi ...

Develop electronic warfare and radar system concepts, signal processing and machine learning algorithms, and RF solutions to remote sensing challenges * Provide technical leadership to small, multi ...

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Audio Signal Processing Machine Learning information

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$29.5K

$84.5K

$171.5K

How much do audio signal processing machine learning jobs pay per year?

As of Jun 1, 2026, the average yearly pay for audio signal processing 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 is an Audio Signal Processing Machine Learning job?

An Audio Signal Processing Machine Learning job involves applying machine learning techniques to analyze, process, and enhance audio signals. This includes tasks like speech recognition, music classification, noise reduction, and sound synthesis. Professionals in this role work with digital signal processing (DSP), deep learning models, and frameworks like TensorFlow or PyTorch to develop audio-based AI applications. They often collaborate with researchers, engineers, and data scientists to improve audio-related technologies in industries such as telecommunications, media, and healthcare.

What are the key skills and qualifications needed to thrive in the Audio Signal Processing Machine Learning position, and why are they important?

To thrive in Audio Signal Processing Machine Learning, you need a strong background in digital signal processing, machine learning, mathematics, and programming (typically Python, MATLAB, or C++), often supported by a relevant degree in electrical engineering, computer science, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), audio processing libraries (like Librosa), and experience using version control systems are highly valuable. Creative problem-solving, strong analytical thinking, and effective collaboration skills will set you apart in this technical and interdisciplinary field. These skills are essential for developing innovative audio processing solutions that meet practical needs in industries like telecommunications, music, and voice recognition.

What are some typical projects or responsibilities for professionals in Audio Signal Processing Machine Learning roles?

Professionals in Audio Signal Processing Machine Learning roles often work on projects such as developing speech recognition systems, designing audio enhancement algorithms, or building music information retrieval solutions. Daily responsibilities may include data preprocessing, feature extraction, model design and training, and evaluating algorithm performance using large audio datasets. Collaboration with software engineers, product managers, or hardware teams is common, as solutions typically need to be integrated into larger products or platforms. These roles also require keeping up with the latest research and continuously tuning models for improved accuracy and efficiency. This variety ensures a dynamic work environment where innovation and technical growth are encouraged.
What cities are hiring for Audio Signal Processing Machine Learning jobs? Cities with the most Audio Signal Processing Machine Learning job openings:
What are the most commonly searched types of Audio Signal Processing Machine Learning jobs? The most popular types of Audio Signal Processing Machine Learning jobs are:
What states have the most Audio Signal Processing Machine Learning jobs? States with the most job openings for Audio Signal Processing Machine Learning jobs include:
Infographic showing various Audio Signal Processing Machine Learning job openings in the United States as of May 2026, with employment types broken down into 22% Full Time, 63% Part Time, 11% Contract, and 4% Nights. Highlights an 100% Physical job distribution, with an average salary of $84,456 per year, or $40.6 per hour.
Software Research Audio Signal Processing

Software Research Audio Signal Processing

Lorven Technologies

Warren, MI • On-site

$192.50K/yr

Full-time

Posted 21 days ago


Job description

Role: Software Research - Audio Signal Processing
Location: Onsite. Warren Park, MI
What you'll be doing:
This project will research software methods for audio detection and signal processing by leveraging machine learning architecture on embedded computing platforms, optimizing their performance within the constraints of these resource-limited systems.
What you need for this position:
• MS or PHD in Computer Science, Computer Engineering, Software Engineering, or similar.
• Project management skill that will ensure timely completion of quality deliverables, proactive time response and capable to properly assess and communicate ahead of time possible bottle necks or delays in tasks.
• In-depth knowledge and experience in real-time application and software development such as hardware-in-the-loop instrumentation and experiments, rapid prototyping system design using Matlab/Simulink, Python, Android applications and GM's ULTIFI platform.
• Very familiar with automotive communications bus specifications and protocols (OBD-II, CAN, Ethernet, Serial, etc.), appropriate test equipment, and computer-based design tools.
• Ability to read, interpret arxml files, integrate the CAN specifications in RTI environment to interface with other vehicle components.
• Ability to write and compile embedded C and Python code
• Knowledge in database systems (i.e. SQL, Oracle)
• Deep knowledge in communications protocol software tools from Vector, Intrepid and Dspace.
• Deep Knowledge in sound processing and general signal processing concepts
• Deep knowledge in ML/AI concepts including SVM and NN

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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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