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Freelance Computer Vision Deep Learning Engineer Jobs in Chicago, IL

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

Design and implement novel computer vision and deep learning algorithms for virtual staining and ... Knowledge of software engineering best practices including version control (Git) and CI/CD ...

1872 Consulting

Machine Learning Engineer

Chicago, IL

Computer Vision Engineer As a Computer Vision Engineer, you will be part of our AI Team working on ... Hands-on experience applying machine learning and deep learning to vision data, preferably direct ...

Acceler8 Talent

Machine Learning Engineer

Mundelein, IL · On-site

$200K - $250K/yr

Machine Learning Engineer - San Francisco, CA What if you could apply quant-style trading ... Strong judgment on deep learning vs classical ML approaches * Ability to implement research with a ...

Resource Point LLC

AI/ML Engineer

Chicago, IL · On-site

Position: AI/ML Engineer Duration: 12 months Location: Chicago, IL An AI/ML Engineer designs ... Deep understanding of machine learning, deep learning, data mining, algorithms, and computer vision

GE Healthcare

Senior AI Engineer, Enterprise AI

Chicago, IL · Hybrid

$107K - $147K/yr

As the Senior AI Engineer, you will be at the forefront of developing and delivering innovative ... Computer Vision, Deep Learning, Transformers, Self-Supervised Learning, and LLM fine tuning.

NAVA Software Solutions

Sr. AI/ML Engineer

Deerfield, IL · On-site

$106K - $145K/yr

... learning, deep learning, and AI system deployment * Strong Python engineering background with ML/DL frameworks: TensorFlow, PyTorch, Keras, OpenCV * Proven experience in Computer Vision tasks ...

IMC Inc

Principal Machine Learning Engineer

Chicago, IL

$200K - $250K/yr

Now we're expanding the team, scaling our systems, and accelerating the application of deep learning in our research and execution workflows. We're looking for a Principal Machine Learning Engineer ...

IMC

Principal Machine Learning Engineer

Chicago, IL · On-site

$200K - $250K/yr

Now we're expanding the team, scaling our systems, and accelerating the application of deep learning in our research and execution workflows. We're looking for a Principal Machine Learning Engineer ...

IMC

Principal Machine Learning Engineer

Chicago, IL · On-site

$200K - $250K/yr

Now we're expanding the team, scaling our systems, and accelerating the application of deep learning in our research and execution workflows. We're looking for a Principal Machine Learning Engineer ...

ONETRACK.AI

Sales - Build Your Own Role

Chicago, IL · On-site

Founded in 2017, OneTrack combines computer vision, deep learning, and low-cost edge sensors to give operations leaders real-time visibility, safety enforcement, and AI-powered automation across ...

ONETRACK.AI

Sales - Build Your Own Role

Chicago, IL · On-site +1

Founded in 2017, OneTrack combines computer vision, deep learning, and low-cost edge sensors to give operations leaders real-time visibility, safety enforcement, and AI-powered automation across ...

Gotion, Inc.

Machine Learning Engineer

Manteno, IL

Design and implement novel machine learning and deep learning models tailored to internal research ... D. (preferred) or M.S. in Machine Learning, Computer Science, Electrical Engineering, Applied ...

Indeed

Senior Machine Learning Engineer

Chicago, IL

$107K - $147K/yr

Requires a Bachelor's degree in Computer Science, Mathematics, or Statistics, and a minimum of 5 ... GEPA) * Knowledge of and practical experience working on Deep Learning libraries (like Torch ...

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Freelance Computer Vision Deep Learning Engineer information

See Chicago, IL salary details

$15

$49

$136

How much do freelance computer vision deep learning engineer jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for freelance computer vision deep learning engineer in Chicago, IL is $49.15, according to ZipRecruiter salary data. Most workers in this role earn between $25.00 and $63.65 per hour, depending on experience, location, and employer.

What engineers make $500,000?

Senior computer vision deep learning engineers with extensive experience, advanced skills in neural networks, and proficiency in frameworks like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-demand industries such as autonomous vehicles, AI research, or tech giants. Achieving this level often requires a strong educational background, specialized certifications, and a track record of impactful projects.

Is computer vision a dead field?

Computer vision remains a vibrant and evolving field with ongoing research and practical applications, especially in areas like autonomous vehicles, medical imaging, and security. Freelance computer vision deep learning engineers are in demand for developing models using tools like TensorFlow and PyTorch, and staying current with advancements is essential for success.

Is ML full of coding?

Machine learning (ML) roles, including those for a freelance computer vision deep learning engineer, typically involve significant coding, especially in languages like Python and frameworks such as TensorFlow or PyTorch. Strong programming skills are essential for developing, training, and deploying models, although understanding algorithms and data preprocessing are also important components of the job.

Is ML a high paying job?

A career as a machine learning engineer, including roles in computer vision and deep learning, is generally considered high paying due to the specialized skills and demand for expertise in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but these roles often offer competitive compensation compared to other tech positions.
What are the most commonly searched types of Computer Vision Deep Learning Engineer jobs in Chicago, IL? The most popular types of Computer Vision Deep Learning Engineer jobs in Chicago, IL are:
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Freelance Computer Vision Deep Learning Engineer jobs near you

Senior Machine Learning Engineer

Career Renew

Chicago, IL • Remote

$165K - $225K/yr

Full-time

Posted 24 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.