2

Remote Audio Signal Processing Machine Learning Jobs in Chicago, IL

Machine Learning Engineer

Chicago, IL ยท On-site +1

$95 - $105/hr

... to remote, hybrid, or onsite candidates. Hiring Process - Target start dates are still being ... Applying the latest techniques and approaches across the domains of data science, machine learning ...

Machine Learning Engineer

Chicago, IL ยท Remote

$95 - $105/hr

THIS IS 100% REMOTE and LONG TERM. Top 3-5 Skills - Strong engineering foundation. - Ability to ... We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing ...

Senior Machine Learning Engineer

Chicago, IL ยท Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... chemical staining processes. This innovation supports the critical evolution from research ...

next page

Showing results 1-20

Remote Audio Signal Processing Machine Learning information

See Chicago, IL salary details

$30.4K

$87K

$176.7K

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

As of Aug 5, 2026, the average yearly pay for remote audio signal processing machine learning in Chicago, IL is $87,001.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $116,400.00 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.

What are the most commonly searched types of Audio Signal Processing Machine Learning jobs in Chicago, IL? The most popular types of Audio Signal Processing Machine Learning jobs in Chicago, IL are:
What are popular job titles related to Remote Audio Signal Processing Machine Learning jobs in Chicago, IL? For Remote Audio Signal Processing Machine Learning jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Remote Audio Signal Processing Machine Learning jobs in Chicago, IL look for? The top searched job categories for Remote Audio Signal Processing Machine Learning jobs in Chicago, IL are:

Digital Signal Processing (DSP) Engineer - AI/ML Ops / Remote

Apetan Consulting llc

Chicago, IL โ€ข Remote

$80 - $150/hr

Contractor

Posted 22 days ago


Job description

Digital Signal Processing (DSP) Engineer – AI/ML Ops
Location: Chicago, IL (Hybrid/Onsite Preferred)
 
Responsibilities
• Design and implement advanced DSP algorithms for real-time and offline signal processing.
• Develop AI/ML models for signal classification, anomaly detection, feature extraction, and predictive analytics.
• Build scalable data pipelines for signal acquisition, preprocessing, and model training.
• Deploy ML models into production using MLOps best practices.
• Optimize DSP and AI algorithms for latency, throughput, and computational efficiency.
• Collaborate with data scientists, embedded engineers, and software development teams.
• Implement CI/CD pipelines for machine learning workflows.
• Monitor production models for drift, performance, and reliability.
• Work with cloud-native AI services and containerized deployments.
• Document architecture, algorithms, and deployment processes.
 
Required Qualifications
• Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• 5+ years of experience in Digital Signal Processing.
• Strong knowledge of: o Digital Filters o FFT o Wavelets o Spectral Analysis o Adaptive Filtering o Time-Series Signal Processing
• Proficiency in Python and C/C++.
• Experience with TensorFlow or PyTorch.
• Hands-on experience building ML pipelines.
• Experience with Docker and Kubernetes.
• Experience with Git and CI/CD. Preferred Qualifications
• Experience with MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML.
• Experience deploying AI models at the edge.
• Familiarity with NVIDIA CUDA or GPU optimization.
• Experience with audio, radar, RF, image, LiDAR, or sensor signal processing.
• Knowledge of LLMs and Agentic AI is a plus.
• Experience working in regulated industries (Healthcare, Automotive, Aerospace, Telecom, Industrial).