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 - $120,600.00Benefits:
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.
Shirley Ryan AbilityLab Chicago, Illinois, USA Office
Chicago, IL, United States
Shirley Ryan AbilityLab Arlington Heights, Illinois, USA Office
3215 North Wilke Road, Arlington Heights, United States, 60004
Shirley Ryan AbilityLab Burr Ridge, Illinois, USA Office
7600 S County Line Rd, , Burr Ridge, Illinois , United States, 60527
Shirley Ryan AbilityLab Burr Ridge, Illinois, USA Office
7600 County Line Road, Burr Ridge, United States, 60527
Shirley Ryan AbilityLab Chicago, Illinois, USA Office
355 E Erie St , , Chicago, Illinois , United States, 60611
Shirley Ryan AbilityLab Chicago, Illinois, USA Office
541 N Fairbanks Ct, Mezzanine, , Chicago, Illinois , United States, 60611
Shirley Ryan AbilityLab Elk Grove Village, Illinois, USA Office
935 Beisner Road, Elk Grove Village, United States, 60007
Shirley Ryan AbilityLab Glenview, Illinois, USA Office
2591 Compass Road, Suite 100, Glenview, United States, 60026
Similar Jobs
What you need to know about the Chicago Tech Scene
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory


