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Remote Prototype Design Jobs in Illinois (NOW HIRING)

Design and implement novel computer vision and deep learning algorithms for virtual staining and ... prototypes into production-ready systems meeting latency and throughput requirements Work with ...

AI Architect

Chicago, IL · On-site +1

$140K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Remote (US or Canada) Rate: $140,000-$225,000 USD (rates vary in Canada) Position Overview ... Run workshops and design reviews with calm and clarity. * Architect agentic systems, RAG pipelines ...

Senior AI Engineer

Chicago, IL · On-site +1

$107K - $147K/yr

  • PTO

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... Design and implement complex AI/ML systems, pipelines, and model-serving architectures for ...

Machine Learning Engineer

Chicago, IL · On-site +1

$95 - $105/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... to remote, hybrid, or onsite candidates. Hiring Process - Target start dates are still being ... In this role you will design and implement algorithmic product architectures to bring our machine ...

Senior AI Engineer

Oakbrook Terrace, IL · On-site +1

$105K - $144K/yr

  • PTO

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... Design and implement complex AI/ML systems, pipelines, and model-serving architectures for ...

... to design, prototype, and deploy AI solutions at speed. We emphasize outcome ownership, ensuring ... We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ...

This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ... Lead the build and execution of POCs and prototypes that serve to qualify and validate emerging AI ...

VP, Martech Strategy & Solutions

Chicago, IL · Remote

  • Medical

  • Dental

  • Retirement

This is a fully remote role, reporting to the SVP, Technology. Key Responsibilities: Technology ... Design AI-enabled solutions leveraging enterprise AI platforms, large language models (LLMs), AI ...

Showing results 41-60

Remote Prototype Design information

What is the difference between Remote Prototype Design vs Remote UX Designer?

AspectRemote Prototype DesignRemote UX Designer
Primary FocusCreating interactive prototypes to test conceptsDesigning overall user experience and interface
Skills & ToolsPrototyping tools (Figma, Adobe XD), UI/UX principlesUser research, wireframing, usability testing
Work EnvironmentCollaborates with designers and developers on prototypesWorks on user flows, wireframes, and interface design
Industry UsageUsed across tech, product, and design agenciesCommon in tech, startups, and digital agencies

Remote Prototype Design focuses on building interactive models to validate ideas, while Remote UX Designer emphasizes overall user experience and interface design. Both roles often collaborate but serve different stages of the product development process.

What are the most commonly searched types of Prototype Design jobs in Illinois? The most popular types of Prototype Design jobs in Illinois are:
What job categories do people searching Remote Prototype Design jobs in Illinois look for? The top searched job categories for Remote Prototype Design jobs in Illinois are:
What cities in Illinois are hiring for Remote Prototype Design jobs? Cities in Illinois with the most Remote Prototype Design job openings:

Senior Machine Learning Engineer

Career Renew

Chicago, IL • Remote

$165K - $225K/yr

Full-time

Re-posted 21 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.