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Remote Computer Vision Engineer Jobs in Bolingbrook, 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 ... Design and implement novel computer vision and deep learning algorithms for virtual staining and ...

UVeye

Field Service Engineer IL

Elk Grove Village, IL · On-site +1

$32 - $38/hr

... of computer vision, machine learning, and generative AI within the automotive sector. With over ... We're looking for a Field Service Engineer to join our growing US Operations Team. In this hands-on ...

Eisneramper Llp

AI Solution Architect

Chicago, IL · On-site +1

$65 - $85.50/hr

... vision of becoming the industry-leading AI-powered professional services firm. What it Means to ... Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field * 6+ ...

Lindsay & Brownell

AI Solution Architect

Chicago, IL · On-site +1

$65 - $85.50/hr

... vision of becoming the industry-leading AI-powered professional services firm. What it Means to ... Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field * 6+ ...

Generac

Sales Engineer - Data Centers

Chicago, IL · On-site +1

This position will be remote/hybrid, and the ideal candidate will need to live near a major airport ... continuous computer-based work requiring periods of sitting, close vision, and the ability to ...

zerohash

Senior Solutions Engineer (Remote)

Chicago, IL · Remote

$56.50 - $73/hr

Vision & Dental Insurance (U.S. only) * Chance to earn equity * Maternity & Paternity leave (after ... fast, programmable, and global. zerohash is trusted by some of the world's most recognized ...

Morningstar

Principal Software Engineer

Chicago, IL · On-site +1

$117K - $123K/yr

... remote work policy. Job Requirements: This position requires a Bachelor's degree in Computer ... Comprehensive health benefits(medical/dental/vision)including potential premium discounts and ...

Turnblock.io

Software Engineer Remote (Web3)

Chicago, IL · Remote

$200K - $250K/yr

Software Engineer Opportunity Our client is on crypto's cutting-edge technology, and we're looking for the right engineers to join them. This is a remote position for any US-based candidate. Our ...

System One

Pipe Stress Engineer

Naperville, IL · Remote

$60.25 - $82.50/hr

Pipe Stress Engineer Location: Remote Type: Contract Overview System One has an exciting ... Strong computer knowledge of Microsoft Office, and CAD Software. * Candidates must be legally ...

System One

Pipe Stress Engineer

Naperville, IL · Remote

$60.25 - $82.50/hr

Pipe Stress Engineer Location: Remote Type: Contract Overview System One has an exciting ... Strong computer knowledge of Microsoft Office, and CAD Software. * Candidates must be legally ...

System One

Pipe Stress Engineer

Naperville, IL · Remote

$60.25 - $82.50/hr

Pipe Stress Engineer Location: Remote Type: Contract Overview System One has an exciting ... Strong computer knowledge of Microsoft Office, and CAD Software. * Candidates must be legally ...

System One

Pipe Stress Engineer

Naperville, IL · Remote

$60.25 - $82.50/hr

Pipe Stress Engineer Location: Remote Type: Contract Overview System One has an exciting ... Strong computer knowledge of Microsoft Office, and CAD Software. * Candidates must be legally ...

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All JobsComputer Vision Engineer JobsRemote Computer Vision Engineer JobsRemote Computer Vision Engineer Jobs in Bolingbrook, IL

Remote Computer Vision Engineer information

See Bolingbrook, IL salary details

$48K

$120.2K

$136K

How much do remote computer vision engineer jobs pay per year?

As of Jul 22, 2026, the average yearly pay for remote computer vision engineer in Bolingbrook, IL is $120,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,300.00 and $130,000.00 per year, depending on experience, location, and employer.

What is a Remote Computer Vision Engineer job?

A Remote Computer Vision Engineer develops and implements computer vision algorithms and machine learning models to analyze and interpret visual data. They work with image and video processing, deep learning frameworks, and cloud-based or edge computing environments. This role involves tasks like object detection, image segmentation, and facial recognition, often using tools like OpenCV, TensorFlow, or PyTorch. Since it is a remote position, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive in the Remote Computer Vision Engineer position, and why are they important?

To excel as a Remote Computer Vision Engineer, you need strong proficiency in image processing, machine learning, and programming languages such as Python or C++, typically supported by a degree in computer science or a related field. Experience with frameworks like OpenCV, TensorFlow, or PyTorch, and familiarity with cloud platforms and version control systems, are highly valuable. Excellent problem-solving skills, self-motivation, and effective remote communication abilities set standout candidates apart. These skills ensure the successful development and deployment of advanced computer vision solutions in a collaborative, distributed work environment.

What are some typical challenges remote computer vision engineers face and how can they address them?

Remote computer vision engineers often encounter challenges such as aligning on project objectives with distributed teams, managing large datasets, and ensuring models perform well in real-world conditions. Effective communication through regular video meetings and clear documentation can help bridge distance-related gaps. Utilizing collaborative tools for code reviews and version control also streamlines teamwork. To overcome technical hurdles, staying updated on the latest frameworks and best practices in computer vision is important. Proactively addressing these challenges leads to more efficient project delivery and professional growth.

What are popular job titles related to Remote Computer Vision Engineer jobs in Bolingbrook, IL? For Remote Computer Vision Engineer jobs in Bolingbrook, IL, the most frequently searched job titles are:
What cities near Bolingbrook, IL are hiring for Remote Computer Vision Engineer jobs? Cities near Bolingbrook, IL with the most Remote Computer Vision Engineer job openings:
Remote Computer Vision Engineer jobs near you

Senior Machine Learning Engineer

Career Renew

Chicago, IL • Remote

$165K - $225K/yr

Full-time

Re-posted 29 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.