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Signal Processing Machine Learning Jobs in Chicago, IL

OceanComm, Inc.

Engineering Intern / Co-op

Chicago, IL · On-site

$35 - $55/hr

Understanding of machine learning / signal processing fundamentals * Comfort with linear algebra * Experience with web development (especially TypeScript / Vue) * Experience with ROV / AUV hardware ...

OceanComm, Inc.

Engineering Intern / Co-op

Chicago, IL · On-site

$35 - $55/hr

Understanding of machine learning / signal processing fundamentals * Comfort with linear algebra * Experience with web development (especially TypeScript / Vue) * Experience with ROV / AUV hardware ...

OceanComm, Inc.

Engineering Intern / Co-op

Chicago, IL

$35 - $55/hr

Understanding of machine learning / signal processing fundamentals * Comfort with linear algebra * Experience with web development (especially TypeScript / Vue) * Experience with ROV / AUV hardware ...

IMC

Hardware Machine Learning Engineer

Chicago, IL

$127K - $167K/yr

We are deploying machine learning directly onto custom hardware - and we want you to help drive it ... real-time signal processing, or similar domains * Familiarity with functional verification ...

Quantum Machines

Machine Learning Engineer

Chicago, IL · On-site

We are looking for a Machine Learning Engineer to design, build, and deploy machine learning systems that improve the calibration, control, and operation of quantum processors. In this role, you will ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

We are deploying machine learning directly onto custom hardware - and we want you to help drive it ... real-time signal processing, or similar domains * Familiarity with functional verification ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

We are deploying machine learning directly onto custom hardware - and we want you to help drive it ... real-time signal processing, or similar domains * Familiarity with functional verification ...

IMC Trading

Machine Learning Researcher

Chicago, IL · On-site

The role involves designing and deploying machine learning models, collaborating with trading teams ... signal generation, and portfolio optimization • Collaborate with quantitative traders ...

IMC

Machine Learning Researcher

Chicago, IL

Design and deploy machine learning models to enhance trading performance across various asset ... signal generation, and portfolio optimization * Collaborate with quantitative traders, researchers ...

York Solutions, LLC

AI/ML Scientist

Chicago, IL

Design, develop, and implement advanced machine learning algorithms for medical device applications, including but not limited to: image and signal processing, predictive modeling, anomaly detection ...

PayPal

Machine Learning Engineer

Chicago, IL · On-site

We also help merchants connect with their customers, process exchanges and returns, and manage risk ... This job will validate and develop machine learning models and algorithms to solve complex problems.

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All JobsSignal Processing Machine Learning JobsSignal Processing Machine Learning Jobs in Chicago, IL

Signal Processing Machine Learning information

See Chicago, IL salary details

$55.1K

$135.3K

$199.3K

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

As of Jul 11, 2026, the average yearly pay for signal processing machine learning in Chicago, IL is $135,308.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $151,900.00 per year, depending on experience, location, and employer.

What are some typical projects or responsibilities for a Signal Processing Machine Learning professional?

As a Signal Processing Machine Learning professional, you can expect to work on projects that involve developing and optimizing algorithms for tasks such as audio or image recognition, anomaly detection, or sensor data analysis. Daily responsibilities often include pre-processing and cleaning large datasets, feature extraction, building and training machine learning models, and validating system performance. Collaboration with cross-functional teams—such as hardware engineers, data scientists, and software developers—is common to integrate your solutions into products or services. The work environment is typically dynamic and may involve both research-oriented tasks and practical implementation to create impactful, data-driven applications.

What is a Signal Processing Machine Learning job?

A Signal Processing Machine Learning job involves developing algorithms that analyze and process signals (such as audio, images, video, or sensor data) using machine learning techniques. Professionals in this role apply concepts from digital signal processing (DSP) to extract meaningful patterns, enhance signal quality, and improve data-driven predictions. They work in diverse fields like telecommunications, biomedical engineering, finance, and autonomous systems. Typical tasks include feature extraction, noise reduction, and deploying deep learning models for real-time signal interpretation. Strong skills in mathematics, programming (Python, MATLAB), and frameworks like TensorFlow or PyTorch are essential.

What are the key skills and qualifications needed to thrive in the Signal Processing Machine Learning position, and why are they important?

To thrive in Signal Processing Machine Learning, you need a strong background in mathematics, digital signal processing, and machine learning, generally supported by a relevant degree in electrical engineering, computer science, or a related field. Experience with programming languages such as Python or MATLAB, familiarity with frameworks like TensorFlow or PyTorch, and knowledge of signal processing libraries are typically required. Analytical thinking, problem-solving ability, and effective communication are crucial soft skills in this position. These competencies enable you to design, implement, and refine advanced algorithms that address complex, real-world data challenges.

What are popular job titles related to Signal Processing Machine Learning jobs in Chicago, IL? For Signal Processing Machine Learning jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Signal Processing Machine Learning jobs in Chicago, IL look for? The top searched job categories for Signal Processing Machine Learning jobs in Chicago, IL are:
Signal Processing Machine Learning jobs near you
Infographic showing various Signal Processing Machine Learning job openings in Chicago, IL as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $135,308 per year, or $65.1 per hour.

Digital Signal Processing Engineer

StatusNeo Inc.

Chicago, IL • On-site

Other

Posted 3 days ago

New

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:
    • Digital Filters
    • FFT
    • Wavelets
    • Spectral Analysis
    • Adaptive Filtering
    • 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).

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