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Machine Learning Engineer New Grad Jobs in Pontiac, IL

University of Utah

Post Doctoral Fellow (E)

Campus, IL

$47K - $64K/yr

... machine learning, and statistical expertise. The position is funded by a grant from the NIH/NIAID ... Eligible new hires with prior URS service, may elect to enroll in URS if they make the election ...

University of Utah

Post Doctoral Fellow (E)

Campus, IL · On-site

$47K - $64K/yr

... machine learning, and statistical expertise. The position is funded by a grant from the NIH/NIAID ... Eligible new hires with prior URS service, may elect to enroll in URS if they make the election ...

SMF

Senior Manufacturing Engineer

Minonk, IL

$88K - $121K/yr

We're proud to rank in the top 0.5% of machine shops nationwide, and that success starts with our ... Support new product launches and ensure readiness for production. Pay & Perks SMF rewards your hard ...

Etnyre International

Senior Manufacturing Engineer

Minonk, IL · On-site

$88K - $121K/yr

We're proud to rank in the top 0.5% of machine shops nationwide, and that success starts with our ... Support new product launches and ensure readiness for production. Pay & Perks SMF rewards your hard ...

Lindenwood

Strategist, Service Learning

Campus, IL · On-site

$118K - $153K/yr

Supports career fairs, networking events, employer information sessions, and other CIA programming ... new community connections * Collaborates with faculty, the Lindenwood Learning Academy, campus ...

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Machine Learning Engineer New Grad information

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$29.3K

$119.7K

$179.8K

How much do machine learning engineer new grad jobs pay per year?

As of Jul 15, 2026, the average yearly pay for machine learning engineer new grad in Pontiac, IL is $119,674.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,300.00 and $144,100.00 per year, depending on experience, location, and employer.

What is a Machine Learning Engineer New Grad job?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the key skills and qualifications needed to thrive in the Machine Learning Engineer New Grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the typical day-to-day tasks of a Machine Learning Engineer New Grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What cities near Pontiac, IL are hiring for Machine Learning Engineer New Grad jobs? Cities near Pontiac, IL with the most Machine Learning Engineer New Grad job openings:
Machine Learning Engineer New Grad jobs near you
Post Doctoral Fellow (E)

Post Doctoral Fellow (E)

University of Utah

Campus, IL

$47K - $64K/yr

Full-time

Retirement

Re-posted 22 days ago

University Of Utah rating

7.1

Company rating: 7.1 out of 10

Based on 158 frontline employees who took The Breakroom Quiz

364th of 555 rated colleges and universities

Job description

Details
Open Date 07/07/2026 Requisition Number PRN45569B Job Title Post Doctoral Fellow (E) Working Title Post Doctoral Fellow in Clinical Prediction and Epidemiology of Diarrheal Diseases Career Progression Track A00 Track Level 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 00235 - Infectious Disease Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range 63,480 to 77,076 Close Date 10/08/2026 Priority Review Date (Note - Posting may close at any time) Job Summary
The Leung lab (www.globalguthealth.org) in the Division of Infectious Diseases at the University of Utah School of Medicine is seeking a postdoctoral fellow to work on clinical, translational, and epidemiological projects relating to diarrheal diseases, focusing on the development of diagnostic and prognostic clinical prediction rules to improve the management of diarrheal illness. The position may involve international travel to work in collaboration with scientists in lower- and middle-income countries in Africa and Asia. Many opportunities for collaborations, and a mentorship team with clinical, epidemiological, machine learning, and statistical expertise. The position is funded by a grant from the NIH/NIAID (R01AI135114), though opportunities for additional projects in other areas are available according to the candidate's interest. Mentorship will be provided jointly by Dr. Daniel Leung and Dr. Ben Brintz
The University of Utah is located in Salt Lake City, which has been named one of the top 10 mid-sized American cities. The city is a thriving hub for innovation and the arts. Salt Lake City is surrounded by the Wasatch Mountains, which offer ample opportunity for outdoor adventure, including nine ski resorts within an hour of campus. As a university, we are committed to supporting our faculty, staff, and students to lead balanced lives, while achieving success in their professions. We aim to create a space that is safe and welcoming for all, and where all employees are meaningfully engaged and have equal opportunity to succeed.
Interested applicants should submit a personal statement, CV, and names of 3 references through the application portal.
Responsibilities
Work on clinical, translational, and epidemiological projects relating to diarrheal diseases, focusing on the development of diagnostic and prognostic clinical prediction rules to improve the management of diarrheal illness. The position may involve international travel to work in collaboration with scientists in lower- and middle-income countries in Africa and Asia. Many opportunities for collaborations, and a mentorship team with clinical, epidemiological, machine learning, and statistical expertise. The position is funded by a grant from the NIH/NIAID (R01AI135114), though opportunities for additional projects in other areas are available according to the candidate's interest.
Minimum Qualifications Preferences
Experience in bioinformatics would be beneficial, though not essential. Candidates must possess excellent verbal and written communication skills.
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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Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Salt Lake City, UT, US

Year founded

1850

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