ZipRecruiter

Log In

1

Machine Learning Engineer New Grad Jobs in Pontiac, IL

Uottawa

APTPUO-Fall 2026-DTI6302 F

Campus, IL · On-site

$239.47/hr

New Position Location: Main Campus Academic Period: 2026 Fall Semester Faculty: Faculte de genie ... Engineering Design and Teaching Innovation Course Title: Machine Learning Operations Course Code:

Uottawa

APTPUO Fall 2026- MIA5100- (ONLINE)

Campus, IL

$239.47/hr

New Position Location: Main Campus Academic Period: 2026 Fall Semester Faculty: Faculte de genie ... D. in AI, Machine Learning, DTI, Computer Science, Statistics, Mathematics, Engineering, or a ...

Uottawa

APTPUO-Winter 2027-SYS5180

Campus, IL · On-site

$239.47/hr

New Position Location: Main Campus Academic Period: 2027 Winter Semester Faculty: Faculte de genie ... Engineering, or a closely related field with a strong focus on AI and machine learning

Uottawa

APTPUO- Winter 2027 -DTI5125

Campus, IL · On-site

$239.47/hr

New Position Location: Main Campus Academic Period: 2027 Winter Semester Faculty: Faculte de genie ... Use of machine learning algorithms to extract meaningful information from data to make decisions.

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 Jun 21, 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
Artificial Intelligence (AI) / Machine Learning (ML) Engineers

Artificial Intelligence (AI) / Machine Learning (ML) Engineers

University of Utah

Campus, IL

Full-time

Retirement

Posted 3 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 538 rated colleges and universities

Job description

Details
Open Date 05/19/2026 Requisition Number PRN45104B Job Title Artificial Intelligence (AI) / Machine Learning (ML) Engineers Working Title AI Engineer Career Progression Track P00 Track Level P4 - Advanced, P3 - Career, P2 - Developing 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
Monday - Friday 8am-5pm.
VP Area Academic Affairs Department 00810 - Scient Comp & Imag Instit-Oper Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range 100,000-135,000 Close Date 08/19/2026 Priority Review Date (Note - Posting may close at any time) Job Summary

The AI Engineers Program is a core component of Utah RAISE (Research & AI Infrastructure for a Statewide Ecosystem) and the broader University of Utah AI ecosystem. The program provides applied AI engineering expertise to complement the shared computing infrastructure to enable researchers, educators, and administrators at the U to adopt responsible and scalable AI adoption.
We are hiring a cohort of AI Engineers who can support design, development, and deployment of prototype to production-grade AI solutions for well-scoped and high-impact use cases. This cohort will focus on application-level work: model fine-tuning and adaptation, retrieval-augmented generation pipelines, agentic systems, and production-oriented ML engineering, and will help build durable, inhouse capacity to support teaching, research, and innovation across the university.
The AI Engineers Program will be administered by the SCI Institute in coordination with the Office of Artificial Intelligence and the One-U Responsible AI Initiative to serve the broader University of Utah community and beyond.
Responsibilities

  • Accelerate responsible AI integration across teaching and research, helping faculty and students move from ideas to production ready tools and prototypes.
  • Support rapid experimentation, prototyping, and implementation, which is increasingly critical given how quickly AI technologies are evolving.
  • Build and maintain shared tools, frameworks, and pipelines that can be reused across colleges and initiatives, reducing duplication and dependence on external vendors.
  • Help operationalize governance, privacy, and security expectations by embedding them directly into AI solutions.
  • Act as force multipliers, upskilling internal teams and supporting interdisciplinary collaboration.
  • Collaborate with faculty, researchers, and other institutional partners to scope projects and define technical approaches.
  • Provide mentorship and technical guidance to senior undergraduate and MS students in AI technologies and application development.
  • Contribute to open-source software and promote reproducible research practices, helping to foster a culture of transparency and reuse across campus.
  • Design and deliver workshops, training sessions, and educational materials on AI tools and methods.
  • Provide technical consulting to the campus community through structured office hours and project-based engagements.

Minimum Qualifications

Artificial Intelligence (AI) / Machine Learning (ML) Engineer, II: Requires a bachelor's (or equivalency) + 4 years or a master's (or equivalency) + 2 years of directly related work experience.

Artificial Intelligence (AI) / Machine Learning (ML) Engineer, III: Requires a bachelor's (or equivalency) + 6 years or a master's (or equivalency) + 4 years of directly related work experience.

Artificial Intelligence (AI) / Machine Learning (ML) Engineer, IV: Requires a bachelor's (or equivalency) + 8 years or a master's (or equivalency) + 6 years of directly related work experience.

Preferences

  • Demonstrated ability to effectively collaborate with researchers and stakeholders across disciplines and levels of technical expertise.
  • Experience in one or more relevant technical domains supporting applied AI development, such as machine learning systems engineering, LLM/GenAI application development, software engineering (e.g., Python, C++, JavaScript), cloud computing, distributed systems, or full-stack development
  • Broad familiarity with AI and research computing and data practices, with the ability to apply sound technical judgment to design, build, and deploy projects with a high degree of independence and creativity.
  • Ability to identify collaboration opportunities and initiatives that would benefit from applied AI integration and partnership with SCI and related programs.
  • Demonstrated experience developing and applying AI/ML techniques (e.g., model training and fine-tuning, large language models, retrieval-augmented generation, or scalable ML systems) in research, scientific, or production-oriented contexts.
  • Professional experience working in technical roles involving complex softwarebased systems, research computing environments, or datadriven applications, with responsibilities beyond routine execution.
  • Evidence of applying advanced technical concepts independently, including systems design, problem decomposition, and implementation choices, in environments with incomplete or evolving requirements.
  • Demonstrated experience collaborating with nonpeer stakeholders (e.g., researchers, faculty, clients, domain experts, or organizational partners) to translate needs or ideas into technical work.
  • Professional experience operating in environments requiring judgment, discretion, and ethical or policy awareness, such as academic, research, healthcare, government, regulated industry, or similarly constrained settings.
  • Prior experience guiding or supporting others' technical work, such as mentoring, advising, leading technical components of projects, or providing consultative support.
  • Demonstrated ability to communicate technical work clearly in written and verbal form to audiences with varying levels of technical expertise.

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

Year founded

1850

View All University of Utah Jobs

Apply