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Machine Learning Engineer Intern Jobs in Urbana, IL

Saigepartners

Data Engineer

Champaign, IL · On-site

$125 - $150/hr

Data Engineer · Location: Columbus, OH (Onsite - based out of Champaign, IL) · Job Type: Direct ... machine learning, and business intelligence solutions. This role offers the opportunity to develop ...

CIT Trucks

Truck Sales Intern

Champaign, IL · On-site

$16 - $17.75/hr

Responsibilities of a Truck Sales Intern entail: * Conducting regular sales calls ranging from ... Engineering and selling products at profit levels established by CIT Trucks * Effectively ...

Reconstruct

Mobile App Developer

Champaign, IL · On-site

Mobile App Developer position How often do you get the chance to make a global impact developing ... Reconstruct's Visual Command Center (VCC) uses AI and Machine Learning inside of computer vision to ...

Varsity Tutors

Data Science Tutor

Champaign, IL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Python Tutor

Champaign, IL · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

CivicMinds, Inc.

Prototype Machinist

Champaign, IL · On-site

Unmatched Learning & Growth: Here, you won't just execute tasks; you'll continuously expand your ... programming, and operation) * 3+ years of CAD/CAM experience * Strong knowledge of GD&T and ...

Varsity Tutors

Linear Algebra Tutor

Champaign, IL · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

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Showing results 21-40

All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Urbana, IL

Machine Learning Engineer Intern information

See Urbana, IL salary details

$25.7K

$42.9K

$88.6K

How much do machine learning engineer intern jobs pay per year?

As of Sep 9, 2026, the average yearly pay for machine learning engineer intern in Urbana, IL is $42,858.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,700.00 and $46,300.00 per year, depending on experience, location, and employer.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What job categories do people searching Machine Learning Engineer Intern jobs in Urbana, IL look for?

The top searched job categories for Machine Learning Engineer Intern jobs in Urbana, IL are:

What cities near Urbana, IL are hiring for Machine Learning Engineer Intern jobs?

Cities near Urbana, IL with the most Machine Learning Engineer Intern job openings:

Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Urbana, IL as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 71% Full Time, 24% Part Time, and 3% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $42,858 per year, or $20.6 per hour.

System Software Engineer, HPC Performance

Champaign, IL

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

$173K - $205K/yr

Full-time

Posted 14 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

NVIDIA's products, hardware and software, are world leaders for performance and efficiency. We are continually innovating in creative and unique ways to improve our ability to deliver extraordinary solutions across a wide range of sectors. We are seeking System Software Engineers who are passionate about what they do and are committed to making a difference in the world through their inventions.

In the Software Development Tools Team, we enable 1st & 3rd-party developers to turn NVIDIA's hardware into groundbreaking cluster, server, professional, consumer, automotive, and embedded solutions. What you will be doing: This position will be enhancing and expanding network hardware and software profiling tools. Implementation will be primarily in C/C++ with some Python for analysis scripting.

You'll work with customers and engineers across teams to explore problems, find solutions, write functional requirements docs and designs, drive execution, and deliver multi-functional software solutions. Partner with system architects, product definition engineers, software/firmware engineers, HW/SW applications engineers and operations, in a multifaceted, dynamic, high-energy work environment to bring industry-defining products to market. Be involved with the premiere multi-discipline GPU+CPU+networking profiling tool in the industry.

You will have the opportunity to work with researchers and real world developers who are doing important work to improve computers and computing systems. Build software tools that enable developers across a spectrum of markets to optimize their workflows; enable complex computer systems doing ongoing work in High Performance Computing(HPC), Machine Learning, Deep Learning, Artificial Intelligence, Autonomous Machines, pro-visualization, and even entertainment. Enable work in tiny embedded and automotive systems.

Our tools span the gamut. What we need to see: BS, MS, or PhD in EE, CE, CS, or Systems Engineering (or equivalent experience). Minimum of 5 years of service in a related hardware/software position.

Excellent problem solving, collaborative, and interpersonal skills. Experience working with international teams preferred. Experience creating monitoring, profiling, or optimization software tools for developers working on large scale systems.

This includes both classic HPC and cloud computing environments. Ways to stand out from the crowd: Experience with multiple architectures (x86, ARM, Power) or multiple operating systems (Windows, Linux, macOS). Proven track record of crafting engineering designs, driving them to consensus within teams, and bringing them to fruition.

Understanding of the intricacies of complex computer hardware and how that affects performance. Experience with low level hardware a major plus. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

The base salary range is 152,000 USD - 241,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 29, 2026.

This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.

As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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