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Deep Learning Research Intern Jobs in Champaign, IL

Varsity Tutors

Series 16 Tutor

Champaign, IL · Remote

$18 - $40/hr

Deep knowledge of Series 16 Supervisory Analysts examination content covering research report ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

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Psychology Tutor

Champaign, IL · Remote

$18 - $40/hr

Deep knowledge of research methods, biological bases of behavior, sensation and perception, learning theories, memory and cognition, developmental psychology, personality theories, abnormal ...

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AP Psychology Tutor

Champaign, IL · Remote

$18 - $40/hr

Deep knowledge of biological bases of behavior, sensation and perception, learning, cognition, developmental psychology, motivation and emotion, clinical psychology, social psychology, and research ...

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CPCE Tutor

Champaign, IL · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of CPCE examination content covering human growth and development, social and ...

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High School English Tutor

Champaign, IL · Remote

$18 - $40/hr

Deep knowledge of literary analysis across genres, rhetoric and argumentation, research writing ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

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How much do deep learning research intern jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for deep learning research intern in Champaign, IL is $17.06, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.28 per hour, depending on experience, location, and employer.

What does a deep learning research intern do?

A Deep Learning Research Intern assists in the development and experimentation of machine learning models, particularly neural networks, to solve complex problems in fields like computer vision, natural language processing, or robotics. They typically work under the guidance of experienced researchers, contributing to tasks such as data preprocessing, model training, and result analysis. Interns may also help implement and optimize algorithms, read and summarize research papers, and prepare reports or presentations on their findings. This role provides hands-on experience with state-of-the-art AI technologies and research methodologies.

What are the key skills and qualifications needed to thrive as a deep learning research intern?

To thrive as a Deep Learning Research Intern, you need a strong grasp of machine learning fundamentals, programming skills (especially in Python), and a background in mathematics or computer science, often supported by relevant coursework or research experience. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and proficiency in using data processing and visualization tools are typically expected. Creativity, problem-solving abilities, and effective communication help interns contribute novel ideas and collaborate within research teams. These skills are vital for developing, testing, and presenting cutting-edge AI models and solutions in a fast-evolving field.

What are some common challenges faced by deep learning research interns, and how can they overcome them?

Deep Learning Research Interns often encounter challenges such as managing complex datasets, tuning neural network architectures, and keeping up with the latest research developments. It's common to spend significant time troubleshooting code or optimizing models for better performance. Collaborating closely with mentors and team members, actively participating in research discussions, and consistently reading recent papers can help interns overcome these hurdles. Utilizing open-source tools and frameworks, along with clear documentation practices, also streamlines the research process.

What cities near Champaign, IL are hiring for Deep Learning Research Intern jobs?

Cities near Champaign, IL with the most Deep Learning Research Intern job openings:

Deep Learning Research Intern jobs near you

System Software Engineer, HPC Performance

Nvidia

Champaign, IL • On-site

$173K - $205K/yr

Full-time

Posted 12 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

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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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