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Learning Policy Institute Jobs in Bolingbrook, IL

The University of Chicago

Staff Scientist

Chicago, IL · On-site +1

Department BSD IPP - Machine Learning About the Department The Institute for Population and ... economic factors, policies and genetic determinants of health, into studies focused on the ...

The University of Chicago

Senior Research Analyst

Chicago, IL · On-site

$119K - $120K/yr

The staff in the Data Science Institute supports the University's community of scholars, their ... Ensure project compliance with different policies, procedures, directives, and mandates. * Take ...

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Learning Policy Institute information

See Bolingbrook, IL salary details

$54.9K

$95.7K

$153.3K

How much do learning policy institute jobs pay per year?

As of Aug 23, 2026, the average yearly pay for learning policy institute in Bolingbrook, IL is $95,739.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,700.00 and $113,700.00 per year, depending on experience, location, and employer.

What is the Learning Policy Institute?

The Learning Policy Institute is a non-profit, non-partisan research organization that works to improve education policy and practice. Founded in 2015, it conducts and communicates independent, high-quality research to inform education leaders and policymakers. The institute focuses on issues such as educational equity, teacher preparation, early learning, and school improvement, aiming to advance evidence-based policies that support equitable and effective learning for all students.

What types of projects can I expect to work on as a policy analyst at the Learning Policy Institute?

As a policy analyst at the Learning Policy Institute, you can expect to contribute to research-driven projects focused on improving education policy and practice. Typical responsibilities include collecting and analyzing data, drafting policy briefs and reports, and collaborating with researchers, educators, and policymakers. The work environment is highly collaborative, often involving cross-functional teams to address complex issues such as educational equity, teacher preparation, and school funding. These projects offer opportunities for professional growth through exposure to influential policy discussions and the chance to present findings to diverse audiences.

What are the key skills and qualifications needed to thrive at the Learning Policy Institute, and why are they important?

To thrive at the Learning Policy Institute, you need a solid background in education policy research, data analysis, and report writing, usually supported by an advanced degree in education, public policy, or a related field. Familiarity with statistical analysis tools (such as SPSS, Stata, or R), literature review platforms, and policy databases is often required. Excellent communication, collaboration, and critical thinking skills help you effectively convey research findings and work within multidisciplinary teams. These competencies are crucial for producing impactful, evidence-based policy recommendations that advance educational equity and quality.

What are popular job titles related to Learning Policy Institute jobs in Bolingbrook, IL?

For Learning Policy Institute jobs in Bolingbrook, IL, the most frequently searched job titles are:

What job categories do people searching Learning Policy Institute jobs in Bolingbrook, IL look for?

The top searched job categories for Learning Policy Institute jobs in Bolingbrook, IL are:

What cities near Bolingbrook, IL are hiring for Learning Policy Institute jobs?

Cities near Bolingbrook, IL with the most Learning Policy Institute job openings:

Learning Policy Institute jobs near you
Infographic showing various Learning Policy Institute job openings in Bolingbrook, IL as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $95,739 per year, or $46 per hour.

Engineer II, Machine Learning Ops CBM Lab

Shirley Ryan AbilityLab

Chicago, IL • On-site

Full-time

Re-posted 5 days ago

Shirley Ryan AbilityLab rating

7.1

Company rating: 7.1 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

Job description

Shirley Ryan AbilityLab is the global leader in physical medicine and rehabilitation for adults and children with the most severe, complex conditions. By joining our team, you'll be part of our life-changing mission and vision. You'll contribute to an innovative, multifaceted culture that is second to none - one that embraces collaboration, excellence, discovery and compassion. You'll play a role in something that's never been done before as we integrate science and clinical care to help patients achieve better, faster outcomes - as we Advance Human Ability, together.
Job Description Summary
The Machine Learning Ops Engineer II works under general supervision and plays an active role in the design, development, and/or operationalization of machine learning models. This position involves responsibility in planning and managing artificial intelligence (AI) and machine learning (ML) lifecycle processes and contributing to the efficiency and effectiveness of deployed models.
The Machine Learning Ops Engineer II will consistently demonstrate support of the Shirley Ryan AbilityLab statement of Vision, Mission and Core Values by striving for excellence, contributing to the team efforts and showing respect and compassion for patients and their families, fellow employees, and all others with whom there is contact at or in the interest of the institute.
The Machine Learning Ops Engineer II will demonstrate Shirley Ryan AbilityLab Core Attributes: Communication, Accountability, Flexibility/Adaptability, Judgment/Problem Solving, Customer Service and Core Values (Hope, Compassion, Discovery, Collaboration, and Commitment to Excellence) while fulfilling job duties.
Job Description
The Machine Learning Engineer II will:
  • Actively participates in deploying, monitoring, and scaling machine learning models in production and big data research.
  • Evaluate data sets to determine suitability for applying machine learning models and techniques.
  • Guide and assist with the collection and curation of clinical datasets.
  • Assist in the implementation and evaluation of machine learning algorithms.
  • Develop and maintain continuous integration and continuous deployment pipelines for automated training and deployment of machine learning models.
  • Manage machine learning infrastructure and optimizes resource utilization.
  • Implement monitoring solutions for model performance and health.
  • Lead small projects or initiatives related to machine learning operations.
  • Work collaboratively with data scientists to optimize model performance.
  • Advocate for best practices in machine learning operations within the team.
  • Participate in maintaining a safe work environment through adherence to policies and procedures relative to safety, fire prevention, hazard communications, security, equipment use and maintenance, infection control and vehicle safety.
  • Perform all other duties that may be assigned in the best interest of the Shirley Ryan AbilityLab.

Reporting Relationships:
  • Reports directly to a designed engineering manager.

Knowledge, Skills & Abilities Required
  • A professional level of knowledge in computer science, engineering or a related field, typically acquired through a Bachelor's Degree.
  • Minimum of 3 years of related experience working on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.
  • Continues to develop professional expertise, applying institute policies and procedures to resolve a variety of issues.
  • Proficient in using version control systems, especially Git.
  • Able to manage branches, handle merge conflicts, and understand the importance of commit history and reverting changes.
  • Strong skills in Python and experience with machine learning frameworks.
  • Working proficiency with Linux and Windows operating systems.
  • Familiarity with tools for deploying machine learning pipelines (eg Docker, Kubenates).
  • Familiarity with cloud based production pipelines offered by leading manufacturers (eg Microsoft Azure, Amazon Web Services, Google Cloud, etc).
  • Ability to work independently on assigned tasks and lead small projects. Excellent problem-solving skills and the ability to troubleshoot complex issues.
  • Good communication skills in both written and verbal forms. Able to work with research subjects and clinicians in a clinical setting.
  • Able to take direction and complete defined tasks in addition to anticipating and executing follow-up actions.
  • Able to perform assignments by receiving general instructions on routine work, and detailed instructions on new projects or assignments.
  • Able to exercise judgment within defined procedures and practices to determine appropriate action.
  • Able to build stable working relationships with multidisciplinary team.

Working Conditions
  • Normal office environment with little or no exposure to dust or extreme temperature.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified.
Pay and Benefits*:
Pay Range:
$72,600.00 - $120,600.00
Benefits:
Shirley Ryan AbilityLab offers a comprehensive benefits program that is competitive with our industry peers in our geographic locations: https://www.sralab.org/benefits
*Benefits and benefits' eligibility can vary by position. Actual compensation will be determined by equity and qualifications of the role.
Equal Employment Opportunity Employer
Shirley Ryan AbilityLab is an Equal Employment Opportunity Employer. All applicants will be afforded equal employment opportunity without discrimination because of race, color, religion, sex, marital status, national origin or ancestry, citizenship status, age, disability, sexual orientation, gender identity, genetic information, military status, order of protection status, unfavorable discharge from military service, or any other characteristics protected by law.
EEO is the Law | EEO is the Law - Know Your Rights | View our Full Policy
Shirley Ryan AbilityLab is an Affirmative Action Employer as required by law.

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