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Machine Learning Engineer Jobs in Champaign, IL (NOW HIRING)

Software Engineer

Champaign, IL · On-site

$80K - $110K/yr

As a Software Engineer at PAR, you will join the team responsible for Bridg, our Identity Resolution platform. This team transforms billions of point-of-sale transactions from leading retailers into ...

Software Engineer Location : Champaign, IL or Midland, MI depending upon candidate preference Duration : Multi Year Project Interview Mode : Phone and Skype Visa : Green Card and US Citizens only.

Distinguished Engineer, Apache Spark

Champaign, IL · On-site

$114K - $137K/yr

Distinguished Engineer - Accelerated Apache Spark NVIDIA is seeking a Distinguished Engineer for the Apache Spark Acceleration group. Over the past five years GPU accelerated data processing has ...

Sr. NPD Engineer

Champaign, IL · On-site

$88K - $137K/yr

We are looking for an experienced Engineer who has in knowledge of Innovation and new Technology projects with hands on capabilities. They will provide experience in the development of fuse or ...

Sr. NPD Engineer

Champaign, IL · On-site

$88K - $137K/yr

We are looking for an experienced Engineer who has in knowledge of Innovation and new Technology projects with hands on capabilities. They will provide experience in the development of fuse or ...

Sr. NPD Engineer

Champaign, IL · On-site

$88K - $137K/yr

We are looking for an experienced Engineer who has in knowledge of Innovation and new Technology projects with hands on capabilities. They will provide experience in the development of fuse or ...

Senior MTS - Software Development

Champaign, IL · On-site

$122K - $161K/yr

Senior MTS - Software Development Engineer The Observability team delivers performant, resilient, and scalable solutions that power our observability platform. This infrastructure spans the full data ...

Senior MTS - Software Development

Champaign, IL · On-site

$122K - $161K/yr

Senior MTS - Software Development Engineer The Observability team delivers performant, resilient, and scalable solutions that power our observability platform. This infrastructure spans the full data ...

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Showing results 1-20

Machine Learning Engineer information

See Champaign, IL salary details

$31.5K

$129K

$193.8K

How much do machine learning engineer jobs pay per year?

As of Jun 27, 2026, the average yearly pay for machine learning engineer in Champaign, IL is $128,957.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,600.00 and $155,200.00 per year, depending on experience, location, and employer.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Champaign, IL? The most popular types of Machine Learning Engineer jobs in Champaign, IL are:
What job categories do people searching Machine Learning Engineer jobs in Champaign, IL look for? The top searched job categories for Machine Learning Engineer jobs in Champaign, IL are:
What cities near Champaign, IL are hiring for Machine Learning Engineer jobs? Cities near Champaign, IL with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in Champaign, IL as of June 2026, with employment types broken down into 1% As Needed, 89% Full Time, 8% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $128,957 per year, or $62 per hour.

$106K/yr

Other

Posted 5 days ago


Job description

This position is located in the U.S. Department of Agriculture (USDA), Farm Production and Conservation (FPAC) Natural Resources Conservation Service (NRCS), State Office and reports to the State Conservationist. Provides staff leadership in engineering programs of NRCS in the assigned state, including formulation of standards, specifications, engineering planning, design and construction; analyzes engineering work and training to recommend training and placement of engineering personnel.
Qualifications:In order to qualify, you must meet the eligibility and qualifications requirements as defined below by the closing date of the announcement. For more information on the qualifications for this position, visit the Office of Personnel Management's General Schedule Qualification Standards.
Your application and resume must clearly show that you possess the experience requirements. If education is required or being used to qualify, you must submit a copy of your transcripts.
This is an interdisciplinary position and may be filled in any of the job series listed below.
Basic Requirement: GS-0810/0890:
A. Degree: Engineering. To be acceptable, the program must: (1) lead to a bachelor's degree in a school of engineering with at least one program accredited by ABET; or (2) include differential and integral calculus and courses (more advanced than first-year physics and chemistry) in five of the following seven areas of engineering science or physics: (a) statics, dynamics; (b) strength of materials (stress-strain relationships); (c) fluid mechanics, hydraulics; (d) thermodynamics; (e) electrical fields and circuits; (f) nature and properties of materials (relating particle and aggregate structure to properties); and (g) any other comparable area of fundamental engineering science or physics, such as optics, heat transfer, soil mechanics, or electronics.

OR
B. Combination of education and experience -- college-level education, training, and/or technical experience that furnished (1) a thorough knowledge of the physical and mathematical sciences underlying engineering, and (2) a good understanding, both theoretical and practical, of the engineering sciences and techniques and their applications to one of the branches of engineering. The adequacy of such background must be demonstrated by one of the following:
1. Professional registration or licensure -- Current registration as an Engineer Intern (EI), Engineer in Training (EIT)1, or licensure as a Professional Engineer (PE) by any State, the District of Columbia, Guam, or Puerto Rico. Absent other means of qualifying under this standard, those applicants who achieved such registration by means other than written test (e.g., State grandfather or eminence provisions) are eligible only for positions that are within or closely related to the specialty field of their registration. For example, an applicant who attains registration through a State Board's eminence provision as a manufacturing engineer typically would be rated eligible only for manufacturing engineering positions.
2. Written Test -- Evidence of having successfully passed the Fundamentals of Engineering (FE)2 examination or any other written test required for professional registration by an engineering licensure board in the various States, the District of Columbia, Guam, and Puerto Rico.
3. Specified academic courses -- Successful completion of at least 60 semester hours of courses in the physical, mathematical, and engineering sciences and that included the courses specified in the basic requirements under paragraph A. The courses must be fully acceptable toward meeting the requirements of an engineering program as described in paragraph A.
4. Related curriculum -- Successful completion of a curriculum leading to a bachelor's degree in an appropriate scientific field, e.g., engineering technology, physics, chemistry, architecture, computer science, mathematics, hydrology, or geology, may be accepted in lieu of a bachelor's degree in engineering, provided the applicant has had at least 1 year of professional engineering experience acquired under professional engineering supervision and guidance. Ordinarily there should be either an established plan of intensive training to develop professional engineering competence, or several years of prior professional engineering-type experience, e.g., in interdisciplinary positions. (The above examples of related curricula are not all-inclusive.)
In addition to meeting the basic requirement, you must also possess experience and/or directly related education listed below.
Specialized Experience Requirement
At least one year of specialized experience, equivalent to the GS-12 grade level in the Federal service, or comparable experience not gained through Federal service. For this position, examples of specialized experience include:

  1. Analyzes engineering work and training needs.
  2. Reviews draft of work plans and project measures for adequacy of the engineering aspects.
  3. Prepares specifications and guidelines for planning, design, and construction of the structural practices of organizational programs.
  4. Trains field engineers in the use of engineering standards and procedures.
NOTE: There is no education substitution for specialized experience at the GS-13 grade level.Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
Time-in-Grade Requirement: If you are a current federal employee in the General Schedule (GS) pay plan and applying for a promotion opportunity, you must meet time-in-grade (TIG) requirements of 52 weeks of service at the next lower grade level in the normal line of progression for the position being filled. You must meet this requirement by the closing date of this announcement.Education:College Transcript: If qualifying based on education, you must submit a copy of your college transcript with course number and department (i.e., Bio 101, Math 210, etc.), course title, number of credit hours, and grade earned. If a relevant course is not clearly qualifying (e.g., special topic, seminar, research, thesis, obscure or misleading course title, etc.), please submit an official course syllabi and/or detailed course description from the university/college to ensure proper evaluation.
Your education must have been successfully obtained from an accredited school, college or university recognized by the U.S. Department of Education to be credited toward qualifications. You may verify accreditation by visiting the U.S. Department of Education Database of Accredited Postsecondary Institutions and Programs website. We will verify your education accordingly.
Foreign Education: You must submit verification that education completed in a foreign institution, was recognized by an accreditation body accepted by the U.S. Department of Education. You must include a Certificate of Foreign Equivalency with your transcript. There are private organizations that specialize in this evaluation and a fee is normally associated with this service. For a list of private organizations that evaluate education, visit the National Association of Credential Evaluation Services (NACES) website. Your transcripts must be in English or include an English translation.
You may submit an unofficial copy of your transcript at the initial phase of the application process. However, if selected, you will be required to submit official transcripts prior to entering on duty. Please refer to the "How to Apply" section for instructions on submitting transcripts.Employment Type: OTHER