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Postdoctoral Fellow Machine Learning Jobs in Illinois

University of Utah

Post Doc Res Assoc

Campus, IL · On-site

$65K - $73K/yr

Building on our leadership in microprotein discovery and function, we are now expanding in Utah to recruit multiple postdoctoral fellows to apply high throughput methods and machine/deep learning to ...

University of Utah

Post Doc Res Assoc

Campus, IL · On-site

$65K - $73K/yr

Building on our leadership in microprotein discovery and function, we are now expanding in Utah to recruit multiple postdoctoral fellows to apply high throughput methods and machine/deep learning to ...

University of Utah

Post Doc Res Assoc

Campus, IL · On-site

$65K - $73K/yr

Building on our leadership in microprotein discovery and function, we are now expanding in Utah to recruit multiple postdoctoral fellows to apply high throughput methods and machine/deep learning to ...

Vizient

Data Science Fellow

Chicago, IL

$51K - $87K/yr

Develop data science approaches, including machine learning models, improve understanding and ... Why this fellowship Estimated Hiring Range: At Vizient, we consider skills, experience, and ...

Vizient, Inc.

Data Science Fellow

Chicago, IL

$51K - $87K/yr

... fellowship Summary In this role, you will be paired with a Vizient executive as a mentor for the ... Develop data science approaches, including machine learning models, improve understanding and ...

Loyola University

Post Doctoral Research Scholar

Chicago, IL · On-site

$50K - $68K/yr

... the postdoctoral fellow to transition into their desired career path. * Flexible Start Date ... learning experience. Consistently ranked among the nation's top universities by U.S. News & World ...

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Postdoctoral Fellow Machine Learning information

What is a postdoctoral fellow in machine learning?

A Postdoctoral Fellow in Machine Learning is a researcher who has recently completed their PhD and is engaged in advanced research in the field of machine learning. This role typically involves conducting independent or collaborative research, publishing scientific papers, and sometimes mentoring students. Postdoctoral fellows often work at universities, research institutes, or industry labs, focusing on developing new algorithms, improving existing models, or applying machine learning techniques to specific problems. The position is usually temporary, lasting one to three years, and aims to prepare researchers for permanent academic or industry roles.

What are the key skills and qualifications needed to thrive as a postdoctoral fellow in machine learning?

To thrive as a Postdoctoral Fellow in Machine Learning, you need a strong background in computer science, mathematics, and statistics, typically supported by a PhD and relevant research experience. Familiarity with programming languages such as Python, machine learning frameworks like TensorFlow or PyTorch, and experience in high-performance computing environments are commonly required. Strong analytical thinking, effective scientific communication, and collaboration skills help you contribute to research teams and disseminate findings. These skills and qualities are crucial for advancing research, developing innovative solutions, and building a successful academic or industry career in machine learning.

What are some common challenges faced by postdoctoral fellows in machine learning, and how can they be addressed?

Postdoctoral Fellows in Machine Learning often encounter challenges such as balancing independent research with collaborative projects, staying current with rapidly evolving technologies, and securing funding or publishing in top-tier journals. To address these, it's helpful to establish clear communication with mentors and collaborators, set aside dedicated time for reading recent literature, and actively seek feedback on research drafts. Building a professional network through conferences and seminars can also open opportunities for collaboration and career advancement.

What is the difference between Postdoctoral Fellow Machine Learning vs Postdoctoral Research Scientist?

AspectPostdoctoral Fellow Machine LearningPostdoctoral Research Scientist
Required credentialsPhD in Computer Science, Data Science, or related fieldPhD in relevant field, often with specialized research experience
Work environmentAcademic labs, universities, research institutionsResearch labs, industry R&D departments, tech companies
Employer and industry usagePrimarily academia, government researchPrimarily industry, corporate research divisions
Common search and comparison intentUnderstanding academic research roles in machine learningExploring industry-focused research career paths

Postdoctoral Fellow Machine Learning roles typically focus on academic research, requiring a PhD and working in universities or research institutions. In contrast, Postdoctoral Research Scientist positions are often industry-based, emphasizing applied research within corporate R&D departments. Both roles involve advanced machine learning expertise but differ mainly in work environment and career trajectory.

What are popular job titles related to Postdoctoral Fellow Machine Learning jobs in Illinois?

For Postdoctoral Fellow Machine Learning jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Postdoctoral Fellow Machine Learning jobs in Illinois look for?

The top searched job categories for Postdoctoral Fellow Machine Learning jobs in Illinois are:

What cities in Illinois are hiring for Postdoctoral Fellow Machine Learning jobs?

Cities in Illinois with the most Postdoctoral Fellow Machine Learning job openings:

Postdoctoral Fellow Machine Learning jobs near you
Infographic showing various Postdoctoral Fellow Machine Learning job openings in Illinois as of July 2026, with employment types broken down into 77% Full Time, 21% Part Time, and 2% Contract. Highlights an 90% Physical, and 10% Remote job distribution.

Engineer I, Machine Learning Ops CBM Lab

Shirley Ryan AbilityLab

Chicago, IL • On-site

$60K - $99K/yr

Full-time

Re-posted 7 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 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.
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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