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Explainable Ai Jobs in Illinois (NOW HIRING)

Drive innovation in areas such as: neuro-symbolic AI, reasoning systems, knowledge-enhanced machine learning, agentic AI, causal AI, explainable AI, human-AI collaboration. * Anticipate AI technology ...

New

Drive innovation in areas such as: neuro-symbolic AI, reasoning systems, knowledge-enhanced machine learning, agentic AI, causal AI, explainable AI, human-AI collaboration. * Anticipate AI technology ...

New

ML Engineer

Deerfield, IL · On-site

$110K - $135K/yr

Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming ...

Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure, and explainable AI solutions . * Establish architectural patterns for AI model deployment, monitoring ...

Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure, and explainable AI solutions . * Establish architectural patterns for AI model deployment, monitoring ...

Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure, and explainable AI solutions . * Establish architectural patterns for AI model deployment, monitoring ...

Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure, and explainable AI solutions . * Establish architectural patterns for AI model deployment, monitoring ...

Principal AI Engineer

Time, IL · On-site

$140 - $210/hr

Design and ship causal-aware AI systems that combine LLMs, structured data, time series, and ... Build systems that move beyond prediction toward accountable, explainable intelligence. #J-18808 ...

Lead Machine Learning Engineer

Chicago, IL · On-site +1

$105K - $139K/yr

Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI * Use programming ...

Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI * Use programming ...

New

Our focus is on combining strong engineering foundations with modern cloud, data, and AI architectures to deliver systems that are reliable, explainable, and built to scale. Learn more at www ...

Lead Machine Learning Engineer

Chicago, IL · On-site

$105K - $139K/yr

Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI * Use programming ...

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Explainable Ai information

What is Explainable AI?

Explainable AI (XAI) refers to methods and techniques in artificial intelligence that make the results of AI models understandable and interpretable by humans. XAI aims to provide transparency into how AI systems make decisions, helping users trust and effectively manage AI applications. This is especially important in fields like healthcare, finance, and law, where understanding the reasoning behind AI-driven outcomes can be crucial for accountability and compliance. By making AI more transparent, XAI also helps identify and address biases or errors in AI systems.

What are the key skills and qualifications needed to thrive as an Explainable AI specialist?

To thrive as an Explainable AI specialist, you need a strong background in machine learning, data science, and statistics, typically with an advanced degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and libraries like LIME or SHAP, as well as experience in model interpretability tools, is essential. Strong analytical thinking, effective communication, and the ability to translate complex technical concepts for non-technical stakeholders are crucial soft skills. These capabilities ensure that AI models are transparent, trustworthy, and can be responsibly integrated into decision-making processes.

What are some of the typical challenges faced when working in Explainable AI and how do professionals address them?

Professionals in Explainable AI often encounter challenges such as balancing model accuracy with interpretability, translating complex model outputs into understandable insights for non-technical stakeholders, and ensuring transparency without compromising sensitive data. Addressing these issues typically involves using specialized tools and frameworks for visualization, collaborating closely with data scientists, domain experts, and business teams, and staying updated on the latest research in model interpretability. Continuous learning and open communication are key to overcoming these challenges and delivering AI solutions that are both effective and trustworthy.

What is the difference between Explainable Ai vs Data Scientist?

AspectExplainable AiData Scientist
CredentialsTypically requires knowledge of AI, machine learning, and data analysis; certifications like AI or ML courses are commonRequires degrees in computer science, statistics, or related fields; certifications in data analysis or machine learning are beneficial
Work EnvironmentWorks within AI development teams, focusing on model transparency and interpretabilityWorks across data analysis, model building, and business insights, often in research or corporate settings
Industry UsageUsed in AI development, healthcare, finance, and any field requiring transparent AI modelsApplied in tech, finance, healthcare, and research for data-driven decision making

Explainable Ai focuses on making AI models transparent and understandable, ensuring trust and compliance. Data Scientists develop and analyze models, often working with complex data. While both roles involve AI and data, Explainable Ai specialists emphasize interpretability, whereas Data Scientists focus on model creation and insights.

What are popular job titles related to Explainable Ai jobs in Illinois?

For Explainable Ai jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Explainable Ai jobs in Illinois look for?

The top searched job categories for Explainable Ai jobs in Illinois are:

What cities in Illinois are hiring for Explainable Ai jobs?

Cities in Illinois with the most Explainable Ai job openings:

Infographic showing various Explainable Ai job openings in Illinois as of August 2026, with employment types broken down into 72% Full Time, 26% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Post Doc Research Fellow-AI/ML Medical Image Analysis

Endeavor Health

Evanston, IL • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago


Endeavor Health rating

7.0

Company rating: 7.0 out of 10

Based on 402 frontline employees who took The Breakroom Quiz

420th of 895 rated healthcare providers


Job description

Hourly Pay Range:

$0.00 - $0.00 - The hourly pay rate offered is determined by a candidate's expertise and years of experience, among other factors.

Position Highlights:

  • Position: Postdoctoral Research Fellow - AI/ML Medical Image Analysis
  • Location: Evanston, IL
  • Full Time/Part Time: Full Time
  • Hours: Monday-Friday, with flexible work schedules

A Brief Overview:

Endeavor Health is seeking a talented Postdoctoral Research Fellow specializing in AI/ML with experience in medical image analysis to join our research enterprise at Endeavor Health Evanston Hospital, an educational affiliate of the University of Chicago (Evanston, IL). This position will establish a cross-cutting AI/ML imaging core serving four high-impact research groups: gynecology, urogynecology, obstetrics/pathology, and radiology.

Endeavor Health has built nationally recognized strength in gynecology, urogynecology, obstetrics, and radiology research, generating rich datasets including uterine cine MRI, pelvic floor ultrasound, digital placental pathology, kidney functional MRI, and multimodal pain biomarkers. This position offers the opportunity to work with highly successful translational teams (see cureperiodpain.com) to provide dedicated AI/ML expertise in image analysis to automate MRI segmentation, perform large-scale histological analyses, and develop predictive imaging models.

The Postdoctoral Research Fellow will be embedded in four collaborative research teams and mentored toward independence as a future principal investigator, with structured support for K- and R-level extramural grant applications. The fellow will work closely with senior investigators. The research environment includes multiple active federally funded projects and a strong track record of high-impact publications and trainee career advancement.

What you will do:

  • Design and deploy scalable AI pipelines for automated uterine, placental, pelvic and kidney MRI segmentation.
  • Develop multimodal predictive models integrating imaging, molecular, and clinical data to predict chronic pain risk and other clinical outcomes.
  • Implement explainable AI (XAI) approaches to ensure transparency and rigor across pipelines.
  • Disseminate AI pipelines as shared institutional tools to broaden adoption across research groups.
  • Collaborate actively with gynecology, obstetrics/pathology, and radiology teams.
  • Regularly review scientific literature and evaluate emerging AI/ML techniques and procedures.
  • Co-author scientific papers for presentation and publication.
  • Contribute to grant writing, targeting R01/U01 applications; prepare for independent K- and R-level award applications.
  • Present work at institutional seminars and scientific meetings to promote AI/ML adoption.
  • Consult with research personnel in research design, AI/ML methodology, and scientific inference.
  • As requested, mentor or teach others in AI/ML methods requiring advanced technical knowledge.
  • Demonstrates knowledge of Endeavor customer service standards and NorthShore University Endeavor policies and procedures applicable to the role.
  • Participates in ongoing professional development through workshops, in-service programs, and professional meetings.
  • Performs related duties as required or assigned.

What you will need:

  • Education: PhD in Biomedical Engineering, Computer Science, Electrical Engineering, Biomedical Informatics, or closely related field required.
  • Experience: Demonstrated expertise in deep learning and computer vision for medical image analysis (MRI, ultrasound, histopathology, or similar modalities). Proficiency in Python and relevant AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn). A publication record and sample code demonstrating AI/ML image analysis capabilities.Experience with medical imaging data formats and preprocessing pipelines (e.g., DICOM, NIfTI, ITK/SimpleITK).Familiarity with explainable AI methods and best practices for model transparency. Experience with or interest in multimodal data integration (imaging, molecular, clinical). Able to work collaboratively across multiple research groups and manage parallel project responsibilities.

Benefits:

  • Career Pathways to Promote Professional Growth and Development

  • Various Medical, Dental, and Vision options

  • Tuition Reimbursement

  • Free Parking at designated locations

  • Wellness Program Savings Plan

  • Health Savings Account Options

  • Retirement Options with Company Match

  • Paid Time Off

  • Community Involvement Opportunities

Endeavor Health is a fully integrated healthcare delivery system committed to providing access to quality, vibrant, community-connected care, serving an area of more than 4.2 million residents across six northeast Illinois counties. Our more than 25,000 team members and more than 6,000 physicians aim to deliver transformative patient experiences and expert care close to home across more than 300 ambulatory locations and eight acute care hospitals - Edward (Naperville), Elmhurst, Evanston, Glenbrook (Glenview), Highland Park, Northwest Community (Arlington Heights) Skokie and Swedish (Chicago) - all recognized as Magnet hospitals for nursing excellence. For more information, visit www.endeavorhealth.org.

When you work for Endeavor Health, you will be part of an organization that encourages its employees to achieve career goals and maximize their professional potential.

Please explore our website (www.endeavorhealth.org) to better understand how Endeavor Health delivers on its mission to "help everyone in our communities be their best".

Endeavor Health is committed to working with and providing reasonable accommodation to individuals with disabilities. Please refer to the main career page for more information.

Diversity, equity and inclusion is at the core of who we are; being there for our patients and each other with compassion, respect and empathy. We believe that our strength resides in our differences and in connecting our best to provide community-connected healthcare for all.

EOE: Race/Color/Sex/Sexual Orientation/ Gender Identity/Religion/National Origin/Disability/Vets, VEVRRA Federal Contractor.


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