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Remote Audio Signal Processing Machine Learning Jobs

Lead Machine Learning Engineer

Millbrae, CA · On-site +1

$119K - $156K/yr

... machine learning applications for practical use * 2+ years in an agile software development ... Audio signal processing, ASR, NLP, and NLG/dialog for conversational automation * Computer vision ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Exposure to spatio-temporal data fusion, applicable database architectures and machine learning ...

Senior Machine Learning Engineer (Remote)

$107K - $146K/yr

... audio and text capabilities within the ML team • Work with some of the brightest minds in ... signal processing Qualifications : Required : • A postgraduate degree in Machine Learning ...

They are seeking a skilled Machine Learning Engineer to build and deploy production ML systems for ... signal processing data and time-series analysis • Improve local development and CI/CD for ML ...

Perform advanced exploratory data analysis on large-scale sensory datasets (image, audio, radar ... remote servers and services, virtual computers and clusters. * Proficiency in signal processing ...

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

Perform advanced exploratory data analysis on large-scale sensory datasets (image, audio, radar ... remote servers and services, virtual computers and clusters. * Proficiency in signal processing ...

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Remote Audio Signal Processing Machine Learning information

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$29.5K

$84.5K

$171.5K

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

As of Aug 23, 2026, the average yearly pay for remote 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 the difference between Remote Audio Signal Processing Machine Learning vs Remote Audio Engineering?

AspectRemote Audio Signal Processing Machine LearningRemote Audio Engineering
Required CredentialsKnowledge of machine learning, signal processing, programming (Python, MATLAB)Audio engineering certifications, audio production experience
Work EnvironmentResearch labs, tech companies, remote collaborationRecording studios, broadcast companies, remote or onsite
Industry UsageDeveloping algorithms for audio enhancement, noise reduction, speech recognitionMixing, mastering, live sound, audio content creation

Remote Audio Signal Processing Machine Learning focuses on developing algorithms using machine learning techniques to improve audio quality and analysis. In contrast, Remote Audio Engineering involves practical audio production, mixing, and recording tasks. Both roles require audio knowledge, but the former emphasizes programming and data science, while the latter centers on sound quality and production skills.

More about Remote Audio Signal Processing Machine Learning jobs

What cities are hiring for Remote Audio Signal Processing Machine Learning jobs?

Cities with the most Remote 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 Remote Audio Signal Processing Machine Learning jobs?

States with the most job openings for Remote Audio Signal Processing Machine Learning jobs include:

Infographic showing various Remote Audio Signal Processing Machine Learning job openings in the United States as of August 2026, with employment types broken down into 33% Internship, 33% Full Time, and 34% Contract. Highlights an 100% Remote job distribution, with an average salary of $84,456 per year, or $40.6 per hour.

Machine Learning Engineer and Digital Signal Processing

Apex Informatics

Remote

Full-time

Re-posted 27 days ago


Job description

Required Skills & Expertise:
• Core Skills:
o Digital Signal Processing (DSP)
o Machine Learning (ML)
• Technical Proficiencies:
o MATLAB - Daily use for DSP development
o Python - For ML algorithms and development
o C Programming - Essential for embedded signal processor software
Noise Reduction Techniques - Practical experience required