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Machine Learning Teaching Assistant Jobs in Dundee, IL

Summary The Machine Learning Ops Engineer I, under direct supervision, will assist in the development, deployment, and management of machine learning models, toolboxes and systems. This role involves ...

Inclusion Teaching Assistant

Wheaton, IL ยท On-site

$19.67 - $21.50/hr

Description: Teaching Assistant needed in a K-6 building to work with students to improve ... learning and the instructional process. * Works with individuals and small groups at the teacher ...

Inclusion Teaching Assistant

Wheaton, IL ยท On-site

$19.67 - $21.50/hr

Description: Teaching Assistant needed in a K-6 building to work with students to improve ... learning and the instructional process. * Works with individuals and small groups at the teacher ...

Showing results 41-60

Machine Learning Teaching Assistant information

See Dundee, IL salary details

$13

$17

$22

How much do machine learning teaching assistant jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for machine learning teaching assistant in Dundee, IL is $17.74, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $18.89 per hour, depending on experience, location, and employer.

How does a machine learning teaching assistant typically collaborate with professors and students during a course?

As a Machine Learning Teaching Assistant, you will work closely with professors to develop and grade assignments, clarify course concepts, and facilitate discussions in lectures or lab sessions. You often serve as a bridge between students and faculty, providing guidance on programming tasks, troubleshooting code, and offering feedback on projects. Regular office hours and online forums are common venues for this support, making strong communication skills and a solid grasp of machine learning fundamentals essential. This collaborative environment helps you deepen your expertise while supporting student learning.

What is a machine learning teaching assistant?

Machine Learning Teaching Assistants are individuals, often graduate students or knowledgeable undergraduates, who assist professors or instructors in teaching machine learning courses. Their responsibilities typically include helping students understand course material, grading assignments, holding office hours, and sometimes leading discussion or lab sessions. They act as a bridge between students and instructors, offering support for both theoretical concepts and practical implementation. By providing guidance and feedback, they help ensure students gain a solid understanding of machine learning principles and applications.

What are the key skills and qualifications needed to thrive as a machine learning teaching assistant, and why are they important?

To thrive as a Machine Learning Teaching Assistant, you need a solid foundation in machine learning concepts, programming (often Python), and relevant coursework or a degree in computer science or a related field. Familiarity with tools like Jupyter Notebooks, TensorFlow, PyTorch, and version control systems is commonly expected. Strong communication, patience, and organizational skills help you effectively support students and collaborate with instructors. These abilities ensure you can explain complex topics clearly, assist students efficiently, and contribute to a positive learning environment.
What cities near Dundee, IL are hiring for Machine Learning Teaching Assistant jobs? Cities near Dundee, IL with the most Machine Learning Teaching Assistant job openings:
Infographic showing various Machine Learning Teaching Assistant job openings in Dundee, IL as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $36,897 per year, or $17.7 per hour.

Engineer I, Machine Learning Ops CBM Lab

Sralab

Chicago, IL โ€ข On-site

$60K - $99K/yr

Full-time

Posted 15 days ago


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 I, under direct supervision, will assist in the development, deployment, and management of machine learning models, toolboxes and systems. This role involves collaborating with data scientists and software engineers to facilitate the implementation of artificial intelligence (AI) and machine learning (ML) solutions in production environments.
The Machine Learning Ops Engineer I 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 I 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 Ops will:

  • Participate in a team to deploy and monitor machine learning models, ensuring their stability and reliability.

  • Review, organize and curate data as directed. Implements and tests machine learning algorithms as directed.

  • Assist in the development and maintenance of continuous integration and delivery pipelines for machine learning systems.

  • Contribute to the automation of model training and deployment processes.

  • Assist with the management of machine learning infrastructure and resources.

  • Support the team in implementing best practices for machine learning operations.

  • Help in troubleshooting and resolving issues in deployed machine learning models.

  • Participate in maintaining a safe and secure computing environment in compliance with organizational policies and procedures.

  • 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 designated engineering manager.

Knowledge, Skills & Abilities Required:

  • A foundational level of knowledge in computer science, engineering, data science, or related field, generally acquired through the completion of a Bachelor's Degree.

  • Basic understanding of machine learning concepts and workflows.

  • Familiarity with version control systems, preferably Git, is required.

  • Basic understanding of Git commands and workflows (e.g., commit, push, pull, merge, branch) is expected.

  • Familiarity with programming languages like Python and tools like TensorFlow or PyTorch.

  • Ability to work under supervision on assigned tasks.

  • Good communication skills and the ability to work well in a collaborative environment.

  • Entry level position with no previous professional experience.

  • Learns to use professional concepts while working on projects of limited scope.

  • Normally receives detailed instructions on all work.

  • Able to take direction and complete defined tasks in support of engineering team.

  • Able to apply institute policies and procedures to resolve routine issues.

  • Able to follow standard practices and procedures in analyzing situations or data from which answers can be readily obtained.

  • 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:

$60,000.00 - $99,700.00

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.

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Shirley Ryan AbilityLab is an Affirmative Action Employer as required by law.