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Remote Audio Signal Processing Machine Learning Jobs

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

Design, train, evaluate, and deploy machine learning models across text, image, audio, and ... Natural Language Processing: LLMs, text classification, information extraction, retrieval systems ...

Cellanome

Machine Learning Engineer

... signal-processing and image-analysis algorithms using classical methods as well as modern AI/ML ... machine learning frameworks such as PyTorch, TensorFlow, or similar platforms. • Experience ...

Spotify

Machine Learning Engineer

Spotify is a leading audio streaming subscription service that aims to unlock the potential of human creativity. They are seeking a Machine Learning Engineer to build systems that analyze the ...

The Pennsylvania State University

For additional information on remote work at Penn State, seeNotice to Out of State Applicants. POSITION SPECIFICS We are searching for a technically strong Communications and Signal Processing ...

Modulate

Machine Learning Engineer

Somerville, MA · On-site +1

$170K - $200K/yr

Experience with audio models or speech systems (ASR, TTS, speaker modeling, etc.) * Experience with ... Hybrid work with core in-office days and flexible remote options * Leadership and technical ...

Modulate

Machine Learning Engineer

Somerville, MA · On-site +1

$170K - $200K/yr

Experience with audio models or speech systems (ASR, TTS, speaker modeling, etc.) * Experience with ... Hybrid work with core in-office days and flexible remote options * Leadership and technical ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Develop, test, and evaluate advanced signal processing algorithms and communication techniques

ManTech International

Machine Learning Engineer

$128K - $214K/yr

General information Requisition # R67616 Locations USA-Remote Work Posting Date 05/19/2026 Security ... and services, processing large volumes of data. This role involves collaborating with Data ...

Cohere

Audio Inference Engineer, Model Efficiency

Responsibilities : • Build reliable machine learning systems and optimize audio inference serving ... audio processing and streaming workloads. • Collaborate closely with both the training and ...

Spotify

Research Scientist - Generative Audio

New York, NY · On-site +1

$133K - $190K/yr

You have experience in one or more of the following fields: generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic ...

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... natural language processing techniques and rigorous statistical analysis Utilize LLMs and ...

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All JobsAudio Signal Processing Machine Learning JobsRemote Audio Signal Processing Machine Learning Jobs

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 Jul 14, 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:
What job categories do people searching Remote Audio Signal Processing Machine Learning jobs look for? The top searched job categories for Remote Audio Signal Processing Machine Learning jobs are:
Remote Audio Signal Processing Machine Learning jobs near you
Infographic showing various Remote Audio Signal Processing Machine Learning job openings in the United States as of July 2026, with employment types broken down into 77% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $84,456 per year, or $40.6 per hour.

Lead Machine Learning Engineer - Remote (US) or CA - Only W2

Saransh Inc

Mountain View, CA • Remote

$104K - $138K/yr

Contractor

Posted 27 days ago

Job description

Role: Lead Machine Learning Engineer
Location: Mountain View, CA (3 days a week onsite) (OR) Remote
Job Type: W2 Contract
Duration: 12 months
 
 
Experience: Senior/Lead Level
 
Short Overview of JD:
Looking for a ML Engineer who will be working on the products related to seismic and well log data, identifying simple geologic characteristics of the data (faults, horizons), and working knowledge of the different subsurface data formats and types.
 
Primary Skills:
MLOps, Deep learning, GPU training and inference, Image models, GCP, TensorFlow, PyTorch, Agentic coding tools
 
We are looking for a candidate who:
  • Senior-level experience leading small engineering teams, setting technical goals in a business context, and remaining hands-on.
  • Familiarity with agentic coding tools (e.g., Claude).
  • Is well-versed in deep learning, GPU training and inference, and image models.
  • Has extensive experience in model training and setting up distributed model training pipelines, especially using platforms like Vertex AI and Kubeflow for large-scale image and language model training.
  • Possesses a strong background in building and deploying machine learning models, with a focus on image processing and time series signal processing.
  • Has hands-on experience in training and fine-tuning ML models.
  • Is skilled in building and maintaining data pipelines for image and sensor data.
  • Is familiar with ML Ops tools and practices, including model monitoring, versioning, and deployment.
  • Has experience working with data labeling tools.
  • Is comfortable with cloud platforms, particularly Google Cloud Platform (GCP); experience with edge deployments is a plus.
Additional (Nice to Have) Skills:
  • Experience with GCP is highly desirable; if not, the ability and willingness to learn quickly is expected.
  • Proficiency in TensorFlow and PyTorch.
  • Familiarity with Protocol Buffers and containerization technologies.
  • Experience with rapid prototyping to validate hypotheses.