1

Machine Learning Engineer New Grad Jobs in Pontiac, IL

Learn new machines and processes as needed. * Operate CNC presses/punches, CNC plasma, and any ... Whether your background is in engineering and design, information technology and software ...

Learn new machines and processes as needed. * Operate CNC presses/punches, CNC plasma, and any ... Whether your background is in engineering and design, information technology and software ...

CUPE-Fall 2026- TA MIA5100

Campus, IL ยท On-site

$31.89 - $50.25/hr

New Position Location where work is to be performed: Main Campus Session: 2026 Fall Semester ... MACHINE LEARNING (Online) Course Code: MIA5100 Section: A Supervisor name (if known): Date Posted ...

Prepare and deliver high quality instruction and facilitate the learning of students. Develop ... programming machining systems Manual Machining lathe/millling/grinding CNC Manual programming ...

Manufacturing Engineer

Pontiac, IL ยท On-site

$67K - $87K/yr

Lead engineering support on planning, development, operation, and maintenance of equipment ... Participates in setting up new machines and testing according to manufacturer's specifications.

Cnc Programmer

Ancona, IL ยท On-site

$35 - $45/hr

CNC Programmer , Streator, IL We are seeking a skilled CNC Programmer in Streator, IL to take full ... machining efficiency. * Collaborate with CNC operators on the shop floor to support new part ...

New Position Location where work is to be performed: Main Campus Session: 2026 Fall Semester ... MACHINE LEARNING APPLIED TO BIOCHEMICAL ENGINEERING Course Code: CHG4360 Section: C Supervisor name ...

Senior Manufacturing Engineer

Minonk, IL ยท 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 ...

Senior Manufacturing Engineer

Minonk, IL ยท 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 ...

next page

Showing results 1-20

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 Jul 14, 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:
Adjunct Professor of Electrical Engineering

Adjunct Professor of Electrical Engineering

University of the District of Columbia

Campus, IL โ€ข On-site

Other

Re-posted 18 days ago


Job description

  • UDC Careers
  • Give
  • Visit
My Account
Career Opportunities at UDC >> Adjunct Professor of Electrical Engineering
Adjunct Professor of Electrical Engineering
Summary
Title: Adjunct Professor of Electrical Engineering ID: 1496 Department: School of Engineering & Applied Sciences (SEAS) Location: UDC- Main Campus Van Ness Campus - NW
Description

Number of Vacancies: 1
Area of Consideration:ย ย Open to the Public
Employment Status: Part -Time, Temporary
Pay Plan, Series & Grade: ES0000/0000/01
Salary Range: varies depending on assignment; minimum $950 per credit hour
Closing Date: Open until filled
Location: 4200 Connecticut Ave. NW. Washington D.C. 20008
Brief Description of Duties
ย 

The University of the District of Columbia is a public land grant institution of higher learning dedicated to providing quality, career focused undergraduate and graduate programs that prepare students with the knowledge, skills, and credentials needed to launch, enhance, or change careers.

Incumbents must teach all assigned classes and hours as determined by semester course schedule; Incumbents will be required to prepare and deliver relevant curriculum to students in the, using a variety of teaching methods to include, but not limited to, lecture, class discussion, demonstration labs, and projects.ย 
Essential Duties and Responsibilities

  1. Applicant should be able to teach assigned courses as specified in the schedule and course contract.
  2. Applicants should have the ability to teach undergraduate and graduate courses in Electrical Engineering, such as Microprocessors Assembly Language Programming, VLSI, Probability and Statistics, Probability and Random Processes, Machine Learning, Virtual Reality and Augmented Reality.
  3. Evaluate and select texts and instructional materials; prepare course materials and lesson plans.
  4. Provide students an approved syllabus that includes course objectives and learning outcomes, teaching methodology, attendance policies in line with those of the institution, texts and readings, assignments and deliverables, timelines and evaluation criteria.
  5. Use the institution's learning management system to post syllabus, assignments and other materials and to communicate with students.
  6. Deliver course content using a variety of teaching styles and provide interesting and engaging assignments that demonstrate the real-world applications of concepts covered.
  7. Maintain records of enrollment and attendance, assessments and grades, submit class rosters and grade sheets by the deadlines established by the institution.
  8. Provide a classroom environment conducive to learning, establishing and maintaining classroom control.
  9. Encourage students to submit course evaluations, review course evaluations when available and use feedback to improve course delivery.
  10. Attend all meetings, ceremonies and official functions as specified by the Chief Academic Officer, Chief Community College Officer and/or Dean.
  11. Attend one or more orientation session(s) to become familiar with the Institution's mission and teaching philosophy, policies and procedures and the learning management system.
  12. Meet with the Dean or Department Chair/Division Director as needed to discuss all aspects of the course including student progress and curriculum development (may be required to provide input into program development).
  13. Adhere to University policies and guidelines in all matters concerning academics and student and staff conduct.

Minimum Job Requirement

  • PhD in Electrical Engineering or Related field
  • Prior teaching experience or must demonstrate evidence of teaching potential and/or corporate/industry training

Information to Applicant


Condition of Employment: Temporary employment may be ended at anytime with or without cause.
Collective Bargaining Unit: Dependent upon certain criteria, this position may be eligible for representation and require payment of union fees through direct payroll deduction.
Employment Benefits: Due to the temporary nature of this appointment, this position is ineligible for benefits.
Equal Opportunity Employer: The District of Columbia Government is an Equal Opportunity Employer. All qualified candidates will receive consideration without regard to race, color, religion, national origin, sex, age, marital status, personal appearance, sexual orientation, family responsibilities, matriculation, physical handicap, or political affiliation.
Notice of Non-Discrimination: In accordance with the D.C. Human Rights Act of 1977, as amended, D.C. Official Code, Section 2-1401.01 et. seq., (Act) the University of the District of Columbia does not discriminate on the basis of actual or perceived: race, color, religion, national origin, sex, age, marital status, personal appearance, sexual orientation, gender identity or expression, familial status, family responsibilities, matriculation, political affiliation, genetic information, disability. Sexual harassment is a form of sex discrimination which is also prohibited by the Act. In addition, harassment based on any of the above protected categories is prohibited by the Act. Discrimination in violation of the Act will not be tolerated. Violators will be subject to disciplinary action.
Veterans Preference: Applicants claiming veteran's preference must submit official proof at the time of application.
Visa Sponsorship: At this time, the University of the District of Columbia does not provide sponsorship for visas (e.g. H-1B). This job is also ineligible for Optional Practical Training (OPT).
Drug-Free Workplace: Pursuant to the requirements of the Drug-Free Workplace Act of 1988, the individual selected to fill this position will, as a condition of employment, be required to notify his/her immediate supervisor, in writing, not later than five (5) days after conviction of any criminal drug statute occurring in the workplace.
Background Investigation: Employment with the University of the District of Columbia is contingent upon a satisfactory background investigation. The determination of a "satisfactory background investigation" is made at the sole discretion of the University of the District of Columbia. The University may refuse to hire a finalist, rescind an offer of employment to a finalist or review and may terminate the employment of a current employee based on the results of a background investigation.
Disposition of Resume: Resumes received outside the area of consideration and/or after the closing date will not be given consideration. You must resubmit your resume to receive consideration for any subsequent advertised position vacancies. For the purpose of employment, resumes are not considered job applications. Therefore, if selected for employment a UDC application will be required.
Job Offers: Official Job Offers are made by the University of the District of Columbia, Office of Talent Management Only.
Contact Information: All inquiries related to employment and job applications should be directed to UDC Office ofย Talent Managementย at (202) 274-5380.

The University of the District of Columbia is an Equal Opportunity/Affirmative Action institution. Minorities, women, veterans and persons with disabilities are encouraged to apply. For a full version of the University's EO Policy Statement, please visit:ย https://www.udc.edu/human-resources/equal-opportunity/ .

Apply Now
CONTACT

4200 Connecticut Ave. NW
Washington, DC 20008

Phone: 202-274-5000 Public Safety: 202-274-5050
INFORMATION
  • Careers @ UDC
  • UDC News
  • Media Inquiries
  • Contact Us
CAMPUS
  • Bookstore
  • Library
  • Student Right to Know
  • Title IX
FIREBIRD FILES
  • Privacy Policy
  • Accessibility Statement
  • Articulation Agreement
  • Download Adobe Reader

Copyright 2025 University of the District of Columbia