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Remote Image Processing Engineer Jobs in Chicago, IL

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... whole slide image (WSI) processing Experience with LoRAs, transformer architecture and ...

Loadsmart

Senior Embedded Systems Engineer

Chicago, IL · On-site +1

United States (Remote) WHAT YOU GET TO DO: * Maintain end-to-end system integrity across the ... Video and Image Encoding Fundamentals: Understanding of modern video codecs such as H.265/HEVC and ...

Anomalix

Remote Consulting Engineer

Chicago, IL · On-site +1

Remote Consulting Engineer Company: Anomalix Inc. Location: Remote - Work from home - 75% travel to ... Create repeatable implementation and support tools, processes and general best practices * Provide ...

Anomalix

Remote Consulting Engineer

Chicago, IL · Remote

Remote Consulting Engineer Company: Anomalix Inc. Location: Remote - Work from home - 75% travel to ... Create repeatable implementation and support tools, processes and general best practices * Provide ...

Quora

AI Automation Engineer -Remote

Chicago, IL · On-site +1

$202.38K - $234.20K/yr

... GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to ... Use AI as much as possible to automate your own process of creating this software * Collaborate ...

Quora

AI Automation Engineer -Remote

Aurora, IL · On-site +1

$202.38K - $234.20K/yr

... GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to ... Use AI as much as possible to automate your own process of creating this software * Collaborate ...

Quora

AI Automation Engineer -Remote

Hammond, IN · On-site +1

$202.38K - $234.20K/yr

... GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to ... Use AI as much as possible to automate your own process of creating this software * Collaborate ...

Quora

AI Automation Engineer -Remote

Gary, IN · On-site +1

$202.38K - $234.20K/yr

... GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to ... Use AI as much as possible to automate your own process of creating this software * Collaborate ...

Jorie AI

Software Engineer

Oak Brook, IL · Remote

... Process Automation for end-to-end Revenue Cycle Management, providing practice and financial ... Our work environment: Remote opportunities Growth advancement opportunities Flexible work ...

Jorie AI

Software Engineer

Oak Brook, IL · Remote

... Process Automation for end-to-end Revenue Cycle Management, providing practice and financial ... Our work environment: Remote opportunities Growth advancement opportunities Flexible work ...

Quora

iOS Engineer -Remote

Aurora, IL · Remote

$166.68K - $191.40K/yr

... GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to ... Own the entire software development process from timeline estimation to coding, testing and release ...

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Remote Image Processing Engineer information

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$5

$64

$92

How much do remote image processing engineer jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote image processing engineer in Chicago, IL is $64.47, according to ZipRecruiter salary data. Most workers in this role earn between $53.51 and $68.85 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Image Processing Engineer, and why are they important?

To thrive as a Remote Image Processing Engineer, you need a strong background in computer vision, image analysis, and programming languages such as Python or C++, often supported by a degree in computer science or a related field. Familiarity with libraries and frameworks like OpenCV, TensorFlow, and MATLAB, along with experience using version control systems like Git, is typically required. Excellent problem-solving skills, self-motivation, and effective remote communication abilities help set candidates apart. These skills are crucial for developing robust image processing solutions, collaborating efficiently with distributed teams, and meeting project goals in a remote work environment.

How does a Remote Image Processing Engineer typically collaborate with cross-functional teams while working offsite?

Remote Image Processing Engineers often collaborate with data scientists, software developers, and product managers through virtual meetings, code review platforms, and shared documentation. Effective communication and clear documentation are crucial to ensure alignment on project goals, processing algorithms, and integration tasks. Most teams utilize agile methodologies and tools like Slack, Jira, and GitHub to coordinate work and provide timely feedback, making it essential for remote engineers to be proactive and responsive. This collaborative structure helps maintain project momentum despite geographic separation.

What are Remote Image Processing Engineers?

Remote Image Processing Engineers are professionals who design, develop, and implement algorithms and software to analyze, enhance, and manipulate digital images, all while working from a remote location. They often use programming languages like Python, C++, or MATLAB and leverage libraries such as OpenCV or TensorFlow. Their work may involve tasks like object detection, image classification, or medical image analysis. These engineers collaborate with cross-functional teams and ensure that image data is processed efficiently and accurately, often for applications in fields like healthcare, robotics, or entertainment.

What is the difference between Remote Image Processing Engineer vs Remote Computer Vision Engineer?

AspectRemote Image Processing EngineerRemote Computer Vision Engineer
Required CredentialsBachelor's or higher in Computer Science, Electrical Engineering, or related fields; experience with image processing librariesBachelor's or higher in Computer Science, Electrical Engineering, or related fields; experience with computer vision frameworks
Work EnvironmentRemote, often in tech or AI companies focusing on image analysisRemote, typically in AI, robotics, or autonomous systems industries
Employer & Industry UsageTech companies, startups, research labs working on image enhancement, medical imagingTech firms, autonomous vehicle companies, surveillance, robotics

Remote Image Processing Engineers focus on developing algorithms for analyzing and enhancing images, while Remote Computer Vision Engineers work on enabling machines to interpret visual data. Both roles require similar technical skills and often overlap, but the Computer Vision role emphasizes understanding and modeling visual information for AI applications.

What are the most commonly searched types of Image Processing Engineer jobs in Chicago, IL? The most popular types of Image Processing Engineer jobs in Chicago, IL are:
What are popular job titles related to Remote Image Processing Engineer jobs in Chicago, IL? For Remote Image Processing Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Remote Image Processing Engineer jobs in Chicago, IL look for? The top searched job categories for Remote Image Processing Engineer jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Remote Image Processing Engineer jobs? Cities near Chicago, IL with the most Remote Image Processing Engineer job openings:
Remote Image Processing Engineer jobs near you

Senior Machine Learning Engineer

Career Renew

Chicago, IL • Remote

$165K - $225K/yr

Full-time

Posted 6 days ago

Job description

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity.
We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis.
Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities.

About the Role

We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor’s virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows.
Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications
Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements
Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks
Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges
Explore image representation in latent space for efficient, high-fidelity virtual staining
Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs’ product roadmap

Collaboration
Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements
Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures
Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems
Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines
Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches

Required Qualifications

PhD (preferred) or Master’s degree in Computer Science, Electrical Engineering, or a related field
Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising
Expert proficiency in Python and PyTorch and other scientific computing environments a plus
Strong mathematical foundation in linear algebra, probability, and optimization
Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure)
Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles
Experience with feature search, data balancing, and data curation pipelines.
Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines
Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment
Extensive use of AI tools for coding, optimization, and ideation

Preferred Qualifications

Experience with medical imaging, digital pathology, or whole slide image (WSI) processing
Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem
Background in generative models and fine-tuning of foundation models
Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton
Experience with hosting computer vision model inference on NVIDIA DGX Spark.
Understanding of FDA regulatory requirements for AI/ML in medical devices
Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices
Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility

What We Offer

The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.