ZipRecruiter

Log In

1

Machine Learning Engineer New Grad Jobs in Pontiac, IL

University of Utah

Data Scientists

Campus, IL · On-site

Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and ... Work with product engineers to translate prototypes into new products, services, and features and ...

University of Utah

Data Scientists

Campus, IL · On-site

Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and ... Work with product engineers to translate prototypes into new products, services, and features and ...

University of Utah

Data Scientists

Campus, IL

Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and ... Work with product engineers to translate prototypes into new products, services, and features and ...

Meharry Medical College

Postdoctoral Fellow

Campus, IL

$47K - $64K/yr

Solid computing background or data experience, e.g., high-performance computing and machine learning. * Proficiency in Python, R, or related programming languages for data analysis and scientific ...

Meharry Medical College

Postdoctoral Fellow

Campus, IL

$47K - $64K/yr

Solid computing background or data experience, e.g., supercomputing and machine learning; * Good programming skills in at least one programming language (e.g., Python, R, etc). * A good understanding ...

Fgcu

Postdoctoral Researcher

Campus, IL

... machine learning analyses. Field activities will primarily occur in Immokalee, Florida. Applicants should have a strong background in Civil Engineering, Environmental Engineering, Geoscience ...

University of Utah

Post Doc Res Assoc

Campus, IL · On-site

$70K - $82K/yr

... develop new research directions. Additional responsibilities include mentoring and supervising ... systems engineering, advanced control, and artificial intelligence/machine learning for energy ...

University of Utah

Post Doc Res Assoc

Campus, IL

$70K - $82K/yr

... develop new research directions. Additional responsibilities include mentoring and supervising ... systems engineering, advanced control, and artificial intelligence/machine learning for energy ...

University of Utah

Post Doc Res Assoc

Campus, IL · On-site

$70K - $82K/yr

... develop new research directions. Additional responsibilities include mentoring and supervising ... systems engineering, advanced control, and artificial intelligence/machine learning for energy ...

Towson University

Assistant Teaching Professor

Campus, IL · On-site

$50K - $55K/yr

Artificial intelligence and machine learning; Data science and data literacy; Computing foundations (e.g., programming, algorithms, systems); integrating advanced learning technology in teaching and ...

Federal Signal

CNC Programmer

Streator, IL · On-site

$70/hr

Work with CNC machinists and engineers to refine setups and improve production workflows ... High school grad or equivalent required; technical or college classes a plus. Salary Range - $70 ...

next page

Showing results 1-20

All JobsMachine Learning Engineer New Grad JobsMachine Learning Engineer New Grad Jobs in Pontiac, IL

Machine Learning Engineer New Grad information

See Pontiac, IL salary details

$29.3K

$119.7K

$179.8K

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

As of Sep 11, 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?

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 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 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 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

Data Scientists

Campus, IL • On-site

University of Utah
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about University of Utahexternal

Full-time

Retirement

Re-posted 28 days ago

University Of Utah rating

6.9

Company rating: 6.9 out of 10

Based on 161 frontline employees who took The Breakroom Quiz

Job description

Details
Open Date 07/16/2026 Requisition Number PRN45737B Job Title Data Scientists Working Title Data Scientists Career Progression Track P00 Track Level P3 - Career, P2 - Developing, P1 - Entry Level Pro FLSA Code Computer Employee 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 00847 - Hematology Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range 75,000 - 105,000 Close Date 10/31/2026 Priority Review Date (Note - Posting may close at any time) 07/16/2026 Job Summary
Data Scientists
Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and analyze and interpret the results of product experiments. Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
Learn more about the great benefits of working for University of Utah: benefits.utah.edu
The department may choose to hire at any of the below job levels and associated pay rates based on their business need and budget.
Responsibilities
Data Scientist, I
Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and analyze and interpret the results of product experiments. Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation. Requires basic skill set and proficiency. Conducts work assignments as directed. Closely supervised with little latitude for independent judgment.
Requires a bachelor's (or equivalency) + 2 years of directly related work experience or a master's (or equivalency) degree.
This is an Entry-Level position in the General Professional track.
Job Code: P33861
Grade: P16

Data Scientist, II
Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and analyze and interpret the results of product experiments. Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation. Requires moderate skill set and proficiency in discipline. Conducts work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment.
Requires a bachelor's (or equivalency) + 4 years or a master's (or equivalency) + 2 years of directly related work experience.
This is a Developing-Level position in the General Professional track.
Job Code: P33862
Grade: P18

Data Scientist, III
Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and analyze and interpret the results of product experiments. Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation. Considered highly skilled and proficient in discipline. Conducts complex, important work under minimal supervision and with wide latitude for independent judgment.
Requires a bachelor's (or equivalency) + 6 years or a master's (or equivalency) + 4 years of directly related work experience.
This is a Career-Level position in the General Professional track.
Job Code: P33863
Grade: P20
Minimum Qualifications
EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor's degree = 4 years of directly related work experience).
Department may hire employee at one of the following job levels:

Data Scientist, I: Requires a bachelor's (or equivalency) + 2 years of directly related work experience or a master's (or equivalency) degree.

Data Scientist, II: Requires a bachelor's (or equivalency) + 4 years or a master's (or equivalency) + 2 years of directly related work experience.

Data Scientist, III: Requires a bachelor's (or equivalency) + 6 years or a master's (or equivalency) + 4 years of directly related work experience.



Preferences
Master's Degree Preferred.
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.

What University Of Utah employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

University of Utah logo

About University of Utah

Sourced by ZipRecruiter

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.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Salt Lake City, UT, US

View All University of Utah Jobs

Apply