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Entry Level Machine Learning Jobs in Illinois (NOW HIRING)

University of Utah

Post Doc Res Assoc

Campus, IL

$65K - $73K/yr

... P1 - Entry Level Pro FLSA Code Administrative Patient Sensitive Job Code? No Standard Hours per ... Machine learning for biological data (e.g., protein language models, transformers, generative ...

University of Utah

Post Doc Res Assoc

Campus, IL · On-site

$65K - $73K/yr

... P1 - Entry Level Pro FLSA Code Administrative Patient Sensitive Job Code? No Standard Hours per ... Machine learning for biological data (e.g., protein language models, transformers, generative ...

University of Utah

Hourly Research Assistants

Campus, IL

$13.82 - $26.94/hr

This is an Entry-Level position in the Support track. Job Code: S58211 Grade: S14 Expected Pay ... Experience applying NLP or machine learning methods to real-world datasets (e.g., clinical text ...

University of Utah

Hourly Research Assistants

Campus, IL

$13.82 - $26.94/hr

This is an Entry-Level position in the Support track. Job Code: S58211 Grade: S14 Expected Pay ... Experience applying NLP or machine learning methods to real-world datasets (e.g., clinical text ...

University of Utah

Hourly Research Assistants

Campus, IL

$13.82 - $26.94/hr

This is an Entry-Level position in the Support track. Job Code: S58211 Grade: S14 Expected Pay ... Experience applying NLP or machine learning methods to real-world datasets (e.g., clinical text ...

Pwc

CTIO-AI Engineer-Sr Associate

Chicago, IL · On-site

$55K - $187K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

RSM

Senior Associate, AI & Data Strategy

Chicago, IL

... techniques, machine learning or AI concepts * Excellent attention to detail, organization, and ... RSM does not intend to hire entry level candidates who will require sponsorship now OR in the ...

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Entry Level Machine Learning information

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How much do entry level machine learning jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for entry level machine learning in Illinois is $16.92, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $18.41 per hour, depending on experience, location, and employer.

What types of projects can an entry-level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

What are the key skills and qualifications needed to thrive as an Entry Level Machine Learning Engineer, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

What are entry level machine learning jobs?

Entry level machine learning jobs are positions designed for individuals just starting their careers in the field of machine learning. These roles typically involve working on data preparation, building and testing basic models, and assisting senior data scientists or engineers. Common job titles include Machine Learning Engineer, Data Analyst, or Junior Data Scientist. Requirements often include proficiency in programming languages such as Python, foundational knowledge of statistics, and experience with machine learning libraries. These jobs provide hands-on experience and mentorship to help new professionals grow their skills.

What Are Entry-Level Machine Learning Jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

More about Entry Level Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Illinois? The most popular types of Machine Learning jobs in Illinois are:
What are popular job titles related to Entry Level Machine Learning jobs in Illinois? For Entry Level Machine Learning jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning jobs in Illinois look for? The top searched job categories for Entry Level Machine Learning jobs in Illinois are:
What cities in Illinois are hiring for Entry Level Machine Learning jobs? Cities in Illinois with the most Entry Level Machine Learning job openings:
Entry Level Machine Learning jobs near you
Post Doc Res Assoc

Post Doc Res Assoc

University of Utah

Campus, IL

$65K - $73K/yr

Full-time

Retirement

Posted 8 days ago

University Of Utah rating

7.2

Company rating: 7.2 out of 10

Based on 157 frontline employees who took The Breakroom Quiz

334th of 535 rated colleges and universities

Job description

Details
Open Date 03/27/2026 Requisition Number PRN44612B Job Title Post Doc Res Assoc Working Title Post Doc Res Assoc Career Progression Track A00 Track Level P4 - Advanced, P3 - Career, P2 - Developing, P1 - Entry Level Pro FLSA Code Administrative Patient Sensitive Job Code? No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP Area U of U Health - Academics Department 01502 - Department of Biochemistry Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range $65,600 to $73,136 Close Date 08/26/2026 Priority Review Date (Note - Posting may close at any time) Job Summary
The Ho lab at the University of Utah is launching an ambitious program to systematically discover, map, and therapeutically harness mitochondrial microproteins to reverse mitochondrial dysfunction in rare and common disease. Microproteins encoded by small open reading frames (smORFs) are an enormous, largely uncharted space of short proteins that regulate core aspects of mitochondrial metabolism, import, and stress responses, and represent a new class of therapeutic targets. 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 unlock the full potential of the dark proteome.
Responsibilities
Scientific vision
Ribosome profiling has uncovered nearly 10,000 human microproteins, yet fewer than 1% are functionally characterized, and a substantial fraction appear to localize to mitochondria ("mito-MPs"). Our longterm goal is to:
  • Create a comprehensive, experimentally validated functional atlas of mitochondrial microproteins
  • Reverse mitochondrial dysfunction in rare mitochondrial diseases as well as common metabolic disorders
Postdocs in the lab will drive one or more of the following thrusts (projects can be tailored to your background):
  1. Mapping the mitochondrial microproteome
  2. Systemslevel functional mapping of mitoMPs
  3. Hypotheses-driven interrogation of mito-MP biology
  4. AIguided design of therapeutic microproteins
If you are excited by the idea of treating microproteins as programmable therapeutic modules and want to work at the intersection of mitochondrial biology, functional genomics, and machine learning, we would love to hear from you.
Methods and platforms in the lab
Depending on your project and interests, you will have the opportunity to work with:
  • Highthroughput functional genomics: pooled CRISPR and baseediting screens, barcoded overexpression libraries, massively parallel reporter assays.
  • Advanced cell and mitochondrial biology: primary human fibroblasts, mitochondrial bioenergetics, import assays, respiratory chain phenotyping, in vivo disease models.
  • Multiomics: singlecell and bulk transcriptomics, untargeted metabolomics, quantitative proteomics.
  • Computational and AI approaches: microprotein bioinformatics, multiomic integration, protein language models, generative sequence design, and model interpretability (e.g., SHAP, attention mapping).
The Ho lab culture emphasizes team science, rigorous mechanistic work, and translation; you will join a collaborative network of basic and clinical partners aimed at moving microprotein discoveries toward therapeutic applications.
Ideal candidate profile
We are recruiting multiple postdocs, and strongly encourage applicants from all scientific and personal backgrounds. Ideal candidates will bring expertise in at least one of the following areas, and enthusiasm to learn across disciplines:
  • Mitochondrial biochemistry, bioenergetics, or oxidative phosphorylation.
  • Rare mitochondrial diseases or mitochondrial dysfunction in metabolic disease.
  • Mitochondrial protein import, organelle proteostasis, or quality control.
  • Functional genomics: CRISPR/Cas9 or baseediting screens, highthroughput reporter assays.
  • Singlecell or spatial transcriptomics / proteomics / metabolomics in metabolic or mitochondrial contexts.
  • Microprotein or peptide biology; therapeutic peptide, mRNA, or gene therapy development related to mitochondrial disease.
  • Computational biology / bioinformatics, especially ribosome profiling, disease gene discovery, or integrative multiomic analyses.
  • Machine learning for biological data (e.g., protein language models, transformers, generative models) and interest in building interpretable tools for experimental colleagues.

Qualifications
  • PhD or MDPhD in a relevant field (e.g., Biochemistry, Molecular Biology, Genetics, Systems Biology, Bioengineering, Computational Biology, Biomedical Data Science).
  • Strong publication record for your career stage and evidence of driving projects to completion.
  • Demonstrated critical and creative thinking, with the ability to formulate and test mechanistic hypotheses.
  • Independence and strong organizational skills, coupled with enjoyment of close collaboration and mentoring in a team setting.
Prior experience in every technique listed is not required; we expect you to have depth in one area and motivation to expand your toolkit in others.
What we offer
  • A highly collaborative, supportive environment spanning wetlab, computational, and translational efforts, embedded in the Department of Biochemistry at the University of Utah.
  • Clear lines of sight to highimpact publications and therapeutic development.
  • Structured mentoring to help you define your scientific niche, build an independent research vision, and prepare competitive grant and faculty applications.
  • Access to stateoftheart core facilities and an extensive network of international collaborators in mitochondrial biology, microproteins, and therapeutic development.

How to apply
Please email the following materials to lena@ho-lab.org with the subject line "Postdoctoral application - Microproteins & Mitochondria":
  1. CV including publication list.
  2. A 1-2 page statement of purpose describing:
    • Your past research experience.
    • How your skills intersect with our program's goals.
    • One or two scientific questions you would be excited to pursue within the themes above.
  3. Contact information for 2-3 referees.
Informal inquiries are welcome if you would like to discuss fit or project directions before applying. For more information on our work, please visit www.ho-lab.org.
Minimum Qualifications Preferences Type Benefited Staff Special Instructions Summary Additional Information
The University is a participating employer with Utah Retirement Systems ("URS"). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS' post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.
This position may require the successful completion of a criminal background check and/or drug screen.
The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.
Veterans' preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran's status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.
To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number can be located at the: University of Utah NonDiscrimination page.
Online reports may be submitted at https://oeo.utah.edu

https://publicsafety.utah.edu/safetyreport/ This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.
As per University of Utah policy 5-108: Transfer of Benefits Eligible Staff Members, a new hire to the University of Utah who is still serving a 12 month probationary period will not be hired into another University of Utah job (a transfer) until the successful completion of the probationary period.

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About University of Utah

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The University of Utah is the state’s flagship institution of higher education, with 18 schools and colleges, more than 100 undergraduate majors and graduate programs, and an enrollment of more than 38,000 students. It is a member of the Association of American Universities—an invitation-only, prestigious group of 71 leading research institutions. The U is advancing a new national model for higher education that delivers societal impact through education, research, health care, and community service, while making social, economic, and cultural contributions that improve lives across Utah and around the world.

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Headquarters location

Salt Lake City, UT, US

Year founded

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