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Remote Signal Processing Research Jobs in Mokena, IL

Tribune Publishing

Research Assistant

Chicago, IL · Remote

$17.05/hr

Research assistants are encouraged to pitch ideas and write for various sections of the magazine ... process. Must be willing to submit and pass the necessary required checks #LI-MW1 #LI-REMOTE

Federal Signal

Tax Manager - Indirect Tax

Downers Grove, IL · On-site +1

$100K - $125K/yr

Research and document indirect tax issues, including nexus, taxability, exemptions, sourcing ... Maintain and improve indirect tax processes, controls, calendars, reconciliations, work papers, tax ...

Federal Signal

Income Tax Analyst

Downers Grove, IL · On-site +1

$55K - $65K/yr

Support quarterly and annual income tax provision processes, including book/tax differences ... About Us Federal Signal Corporation (NYSE: FSS) builds and delivers equipment of unmatched quality ...

Nourish

Research Associate

Chicago, IL · On-site +1

This role is full-time and open to NYC-based or remote candidates. Our office is located in ... processes and patient enrollment for high-priority clinical research studies * Build cross ...

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All JobsSignal Processing Research JobsRemote Signal Processing Research JobsRemote Signal Processing Research Jobs in Mokena, IL

Remote Signal Processing Research information

What are the key skills and qualifications needed to thrive as a remote signal processing researcher?

To excel as a Remote Signal Processing Researcher, you need a strong background in mathematics, signal processing theory, and programming, typically supported by an advanced degree in electrical engineering or a related field. Familiarity with MATLAB, Python (NumPy/SciPy), and simulation tools, along with experience in data analysis and machine learning frameworks, is highly valuable. Strong analytical thinking, effective written communication, and self-motivation are crucial soft skills for remote collaboration and independent research. These competencies are vital for developing innovative solutions, publishing impactful research, and effectively contributing to distributed research teams.

What are some typical challenges faced when working remotely in a signal processing research role?

Working remotely in Signal Processing Research often involves coordinating with multidisciplinary teams across different time zones, which can make real-time collaboration and problem-solving more challenging. Additionally, accessing specialized hardware or laboratory equipment may be limited, requiring creative solutions for simulation and data analysis. However, most organizations provide robust digital collaboration tools and remote access to computational resources, allowing researchers to effectively contribute to projects and publications. Open communication and proactive project management are key to overcoming these challenges.

What is the difference between Remote Signal Processing Research vs Remote Audio Signal Processing Engineer?

AspectRemote Signal Processing ResearchRemote Audio Signal Processing Engineer
Required CredentialsAdvanced degrees in electrical engineering, signal processing, or related fieldsBachelor's or master's in electrical engineering, audio engineering, or similar
Work EnvironmentResearch labs, universities, or corporate R&D teams, often focused on innovationProduct development teams, audio technology companies, or consumer electronics firms
Industry UsagePrimarily in research institutions, academia, or R&D departmentsIn manufacturing, software development, and consumer electronics industries

Remote Signal Processing Research involves exploring new algorithms and theories in signal processing, often within academic or R&D settings. In contrast, Remote Audio Signal Processing Engineers focus on applying existing techniques to develop audio products and solutions. Both roles require strong technical skills, but their focus and work environments differ significantly.

What is remote signal processing research?

Remote signal processing research involves analyzing and interpreting signals—such as audio, video, or sensor data—collected from remote sources. Researchers in this field develop algorithms and techniques to filter, enhance, and extract useful information from these signals, often using tools like machine learning. This work is vital in areas such as telecommunications, medical imaging, and environmental monitoring. The 'remote' aspect means that researchers can perform these tasks from locations outside of traditional labs or offices, often collaborating online.
What cities near Mokena, IL are hiring for Remote Signal Processing Research jobs? Cities near Mokena, IL with the most Remote Signal Processing Research job openings:
Remote Signal Processing Research jobs near you
Infographic showing various Remote Signal Processing Research job openings in Mokena, IL as of June 2026, with employment types broken down into 73% Full Time, 19% Part Time, 4% Temporary, and 4% Contract. Highlights an 52% Physical, 3% Hybrid, and 45% Remote job distribution.

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

Apetan Consulting llc

Chicago, IL • Remote

$80 - $150/hr

Contractor

Posted 23 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).