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Manager Remote Machine Learning Jobs in Illinois

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 ...

AppFolio

Sr. Machine Learning Engineer

Chicago, IL · Remote

$107.60K - $147.80K/yr

We're revolutionizing how property managers operate, how residents live, and how intelligence flows ... Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in ...

Autodesk

Senior Machine Learning Test Engineer

Ohio, IL · On-site +1

$104.30K - $135.50K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... You will report to an Engineering Manager in Research Enablement. Location: United States, East ...

Cayuse Holdings, LLC

$28 - $30/hr

Remote Type: Corp to Corp Start Date: ASAP Pay Rate: $28-$30 per hour Contract Length: 12 months ... Solid understanding of machine learning lifecycle management and model deployment in production ...

HERE Technologies

Sr Engineering Manager

Chicago, IL · On-site +1

$205K - $240K/yr

Define and execute technical strategy for applying machine learning and foundational models to map ... Familiarity with technologies related to perception systems, remote sensing, or geospatial data ...

HERE Technologies

Sr Engineering Manager

Chicago, IL · On-site +1

$205K - $240K/yr

Define and execute technical strategy for applying machine learning and foundational models to map ... Familiarity with technologies related to perception systems, remote sensing, or geospatial data ...

Strada

Finance Manager - Remote

Chicago, IL · On-site +1

$9/hr

... plans, learning opportunities, and more. All offers are contingent on successful completion of ... DISCLAIMER: Nothing in this restricts management's right to assign or reassign duties and ...

IQVIA

Lead Clinical Data Manager (Remote)

Chicago, IL · Remote

$68.50K - $217.10K/yr

... remote/WFH position with all necessary equipment provided. What You'll Do * Lead data management ... Career growth and learning opportunities through mentoring and internal mobility * Inclusive ...

IQVIA

Lead Clinical Data Manager (Remote)

Chicago, IL · Remote

$68.50K - $217.10K/yr

... remote/WFH position with all necessary equipment provided. What You'll Do * Lead data management ... Career growth and learning opportunities through mentoring and internal mobility * Inclusive ...

Relativity

Senior Applied Scientist

Chicago, IL · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Develop machine learning and generative AI models that ship as customer-facing product features

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All JobsManager Remote Machine Learning JobsManager Remote Machine Learning Jobs in Illinois

Manager Remote Machine Learning information

What is the difference between Manager Remote Machine Learning vs Data Scientist?

AspectManager Remote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; leadership experienceBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote team management, project oversightData analysis, model development, research
Employer & Industry UsageTech companies, AI firms, startupsTech, finance, healthcare, research institutions
Common Search & ComparisonYesYes

The main difference is that a Manager Remote Machine Learning oversees ML projects and teams remotely, focusing on leadership and strategy, while a Data Scientist primarily conducts data analysis and model development. Managers handle project management and team coordination, whereas Data Scientists focus on technical implementation and research.

What are the most commonly searched types of Remote Machine Learning jobs in Illinois? The most popular types of Remote Machine Learning jobs in Illinois are:
What are popular job titles related to Manager Remote Machine Learning jobs in Illinois? For Manager Remote Machine Learning jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Manager Remote Machine Learning jobs in Illinois look for? The top searched job categories for Manager Remote Machine Learning jobs in Illinois are:
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Manager Remote Machine Learning jobs near you

Senior Machine Learning Engineer

Career Renew

Chicago, IL • Remote

$165K - $225K/yr

Full-time

Posted 7 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.