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Flex Remote E Learning Developer Jobs in Naperville, IL

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

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 ...

Performacentric

Full Stack Developer

Chicago, IL · On-site +1

Remote (Preferred: Philippines, Latin America, or North America) Employment Type: Full-Time / ... Candidates with experience in machine learning, large language models (LLMs), AI agents, and ...

Motorola

Senior DevOps Engineer (US REMOTE)

Schaumburg, IL · Remote

$140K - $170K/yr

  • Medical

  • Dental

  • Retirement

Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ... Awareness of compliance frameworks (e.g. FedRAMP, CCCS) * Experience with SIP/RTP * Experience with ...

Motorola

Senior DevOps Engineer (US REMOTE)

Chicago, IL · Remote

$140K - $170K/yr

  • Medical

  • Dental

  • Retirement

Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ... Awareness of compliance frameworks (e.g. FedRAMP, CCCS) * Experience with SIP/RTP * Experience with ...

Leidos

Senior Transmission Line Engineer

Chicago, IL · On-site +1

$73K - $132K/yr

... fully remote. You should minimally meet the knowledge, skills, and abilities listed below ... e-learning training, work-life flexibility, an exciting External Referral Program, and a diverse ...

Career Renew

Senior ML Engineer

Chicago, IL · Remote

$180K - $240K/yr

  • Medical

  • PTO

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: 180-240K USD plus benefits plus equity.

EnerSys

Senior Finance AI & Automation Developer

Romeoville, IL · On-site +1

$95K - $119K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote * Tuesday-Thursday: Onsite at our Reading, PA location Candidates outside the Reading, PA ... AI-generated coding experience required (i.e. Claude Code, Codex) * Azure experience required

ICF

Substation Physical Engineer - REMOTE

Chicago, IL · Remote

$101K - $129K/yr

  • Retirement

You enjoy taking on new responsibilities and learning new skill sets whenever needed. What you will ... Ensure compliance with industry codes (e.g., IEEE, NESC, NEC) and utility standards * Continuous ...

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Showing results 21-40

All JobsE Learning Developer JobsFlex Remote E Learning Developer JobsFlex Remote E Learning Developer Jobs in Naperville, IL

Flex Remote E Learning Developer information

See Naperville, IL salary details

$11K

$83.8K

$139.8K

How much do flex remote e learning developer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for flex remote e learning developer in Naperville, IL is $83,761.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,900.00 and $138,800.00 per year, depending on experience, location, and employer.

What is the difference between Flex Remote E Learning Developer vs Flex Remote Instructional Designer?

AspectFlex Remote E Learning DeveloperFlex Remote Instructional Designer
Required CredentialsBachelor's in Education, Instructional Design, or related field; familiarity with e-learning toolsBachelor's or Master's in Education, Instructional Design, or related field; expertise in curriculum development
Work EnvironmentRemote, project-based, often collaborating with subject matter expertsRemote, focusing on designing and developing instructional materials and courses
Employer & Industry UsageEducational institutions, corporate training, e-learning companiesEducational institutions, corporate training, e-learning platforms

While both roles involve creating online learning content remotely, the Flex Remote E Learning Developer primarily focuses on developing and coding e-learning modules, whereas the Flex Remote Instructional Designer emphasizes designing curriculum and instructional strategies. Both roles require similar credentials and often work in the same industries, but their core responsibilities differ in content creation versus instructional planning.

What are popular job titles related to Flex Remote E Learning Developer jobs in Naperville, IL?

For Flex Remote E Learning Developer jobs in Naperville, IL, the most frequently searched job titles are:

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Cities near Naperville, IL with the most Flex Remote E Learning Developer job openings:

Flex Remote E Learning Developer jobs near you

Senior Machine Learning Engineer

Career Renew

Chicago, IL • Remote

$165K - $225K/yr

Full-time

Re-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.