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Audio Signal Processing Machine Learning Jobs (NOW HIRING)

Senior Applied ML Researcher - Video Apps

Cupertino, CA ยท On-site

$185.10K/yr

... audio signal processing, and multimodal learning, enabling intelligent systems that can see, hear ... MS in Computer Science, Machine Learning, or a related field, or equivalent practical experience4 ...

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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 3, 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:
What job categories do people searching Audio Signal Processing Machine Learning jobs look for? The top searched job categories for Audio Signal Processing Machine Learning jobs are:
Infographic showing various Audio Signal Processing Machine Learning job openings in the United States as of May 2026, with employment types broken down into 6% As Needed, 67% Full Time, 17% Part Time, 1% Temporary, and 9% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $84,456 per year, or $40.6 per hour.

Applied Machine Learning Intern

WaveWorks Technologies Inc

Seattle, WA โ€ข On-site

Full-time

Posted 7 days ago


Job description

Salary:

Applied Machine Learning Intern

WaveWorks is building applied AI systems for real-world industrial environments. We are seeking a hands-on Applied Machine Learning Intern to work directly on live deployment data, develop modeling approaches, and take ownership of analysis for an active site.


RESPONSIBILITIES

  • Process, clean, and structure large-scale audio/time-series datasets
  • Align data with ground truth and validate data quality
  • Develop and evaluate modeling approaches for predictive maintenance
  • Design and run structured experiments, analyze results, and document findings
  • Improve data workflows and evaluation pipelines


REQUIRED QUALIFICATIONS

  • Pursuing a degree in Computer Science, Electrical Engineering, Data Science, or related field
  • Strong Python skills
  • Experience with ML frameworks (PyTorch, TensorFlow, or scikit-learn)
  • Comfortable working with real-world, noisy datasets
  • Strong analytical and documentation skills


PREFERRED QUALIFICATIONS

  • MS or PhD candidate in a relevant technical field
  • Experience with audio processing or time-series feature engineering
  • Familiarity with anomaly detection
  • Exposure to signal processing concepts (FFT, spectrograms, filtering)
  • Experience designing and evaluating structured ML experiments
  • Self-driven and comfortable operating in an early-stage environment



WaveWorks is committed to a friendly and welcoming working environment. WaveWorks does not discriminate based on race, gender, age, religious affiliation, or any other legally protected status.

WaveWorks is located in downtown Seattle, Washington.