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Machine Learning Engineer New Grad Jobs in Pontiac, IL

... a new class of therapeutic targets. Building on our leadership in microprotein discovery and ... Machine learning for biological data (e.g., protein language models, transformers, generative ...

... a new class of therapeutic targets. Building on our leadership in microprotein discovery and ... Machine learning for biological data (e.g., protein language models, transformers, generative ...

... a new class of therapeutic targets. Building on our leadership in microprotein discovery and ... Machine learning for biological data (e.g., protein language models, transformers, generative ...

CNC Machine Operator

Dwight, IL

$20.25 - $27.75/hr

Operate CNC milling and turning centers to machine small parts according to engineering ... Openness to learning and working on any machine assigned within the machining department and ...

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 ...

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 ...

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 ...

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 ...

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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:

APTPUO Winter 2027- MIA- 5130 (ONLINE)

Uottawa

Campus, IL

$239.47/hr

Part-time

PTO

Posted 16 days ago


Job description

Posting Reason:

New Position

Location:

Main Campus

Academic Period:

2027 Winter Semester

Faculty:

Faculte de genie / Faculty of Engineering

Academic Unit:

Ecole de conception et d'innovation pedagogique en genie \\ School of Engineering Design and Teaching Innovation

Course Title:

SYSTEMS OPTI AND MNGT

Course Code:

MIA5130

Section:

A

Course Description:

Posting limited to:

Professeur a temps-partiel regulier / Regular Part-Time Professor

Date Posted (YYYY/MM/DD):

2026/06/05

Applications must be received BEFORE (YYYY/MM/DD):

2026/07/06

Expected Enrolment:

30

Approval date:

2026/06/05

Number of credits:

3

Work Hours:

39

Hourly Rate:

Enseignement / Teaching: $239.47 (2024-2025)

The academic year starts on September 1 and ends on August 31.

These rates do not included vacation pay nor statutory pay.

These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification.

Course type:

B

Posting type:

Regulier / Regular

Language of instruction:

Anglais | English

Competence in second language:

Active

Course Schedule:

Lundi | Monday 19:00-22:00 - -

Requirements:

Requirements
Ph.D. in computer science, engineering, mathematics, operations research, or a closely related field with strong focus on AI/ML is required.
Experience teaching a similar course at the graduate level and/or undergraduate level
Experience working on projects involving optimization techniques, such as developing algorithms, modelling complex systems, or improving business processes, with applications in AI, machine learning, or data-driven decision systems.
Experience working with optimization tools and computational methods, such as Python, MATLAB, and/or optimization libraries/solvers
Familiarity with AI or data-driven approaches in optimization, such as machine learning-enhanced optimization, heuristic methods, and intelligent decision systems.
Demonstrated industry experience applying AI, optimization, or data-driven methods to real-world problems including areas such as system optimization, data analysis, or process improvement, is highly desirable

Additional Information and/or Comments:

The course is online

An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience. If you are invited to continue the selection process, please notify us of any adaptive measures you might require. Information you send us will be handled respectfully and in complete confidence. Employees are required under provincial law to successfully complete all mandatory legislated training. The list of training may be modified by provincial law.

The hiring process will be governed by the current APTPUO collective agreements; you can click here for the main unit, here for the OLBI unit, or here for the Toronto/Windsor unit to find out more.

The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact vra.affairesprofessorales@uottawa.ca to communicate the accommodation need. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 - Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.