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Nvidia Machine Learning Internship Jobs in Ohio (NOW HIRING)

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Nvidia Machine Learning Internship information

What is an Nvidia machine learning internship?

An Nvidia Machine Learning Internship is a temporary, hands-on program for students or recent graduates to work with Nvidia’s teams on projects related to machine learning and artificial intelligence. Interns typically assist with research, data analysis, model development, and software engineering tasks using Nvidia’s cutting-edge GPU technologies. The internship provides valuable real-world experience, mentorship from industry experts, and the opportunity to contribute to innovative AI solutions. It’s a great way to build skills, expand your professional network, and potentially secure a full-time role at Nvidia in the future.

What types of projects do interns typically work on during the Nvidia machine learning internship?

During the Nvidia Machine Learning Internship, interns often work on real-world projects involving deep learning, computer vision, or natural language processing. These projects may include developing new models, optimizing existing algorithms, or contributing to open-source frameworks. Interns typically collaborate with experienced engineers and researchers, gaining hands-on experience while having access to state-of-the-art GPU hardware. The work environment encourages innovation and learning, and interns are often given opportunities to present their results to senior team members.

What are the key skills and qualifications needed to thrive as an Nvidia machine learning intern, and why are they important?

To excel as an Nvidia Machine Learning Intern, you need a solid foundation in computer science, mathematics, and machine learning concepts, typically supported by progress toward a relevant degree. Familiarity with programming languages like Python, deep learning frameworks such as TensorFlow or PyTorch, and GPU computing tools (e.g., CUDA) is essential. Strong analytical thinking, problem-solving skills, and effective teamwork set standout interns apart. These competencies enable you to contribute meaningfully to advanced AI projects and collaborate efficiently within Nvidia's innovative environment.

What is the difference between Nvidia Machine Learning Internship vs Data Science Internship?

AspectNvidia Machine Learning InternshipData Science Internship
Required CredentialsRelevant coursework, programming skills, possibly some machine learning certificationsStatistics, programming, data analysis skills, often a related degree
Work EnvironmentResearch labs, tech company offices, collaborative teams focused on AI/ML projectsBusiness environments, data analysis teams, cross-functional collaboration
Employer & Industry UsageTech companies, AI/ML research labs, hardware/software firms like NvidiaVarious industries including tech, finance, healthcare, and consulting

While both internships involve working with data and programming, Nvidia Machine Learning Internships focus specifically on developing and optimizing machine learning models in a hardware and AI context, whereas Data Science Internships emphasize analyzing data to derive insights across diverse industries.

What are the most commonly searched types of Nvidia Machine Learning jobs in Ohio?

The most popular types of Nvidia Machine Learning jobs in Ohio are:

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For Nvidia Machine Learning Internship jobs in Ohio, the most frequently searched job titles are:

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What cities in Ohio are hiring for Nvidia Machine Learning Internship jobs?

Cities in Ohio with the most Nvidia Machine Learning Internship job openings:

Nvidia Machine Learning Internship jobs near you

Machine Learning Engineer (Intern - Summer 2027)

Fairborn, OH • On-site

SRC, Inc
See more jobs at SRC, Incexternal

Full-time, Temporary, Internship

Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

SRC, Inc. is currently seeking summer 2027 Machine Learning Engineering interns for our Dayton, OH or Syracuse, NY locations who enjoy solving interesting problems using ML. Are you excited about machine learning (ML) and want to do something meaningful? Do you want your work to make a real difference and save lives? Our products protect our soldiers, our nation, and our allies. We solve the kinds of problems search engines don’t have answers for.  Selected candidates will have the opportunity to work in small teams designing and developing solutions using deep learning and statistical methods on a variety of challenging problems. Because of the diverse nature of our work, we can accommodate team members with varying technical backgrounds.
 
What You'll Do 
  • Develop and apply ML models to run on both cloud hosts and edge platforms.
  • Assist with algorithm and model development and integration into hardware and software components
  • Assist with the collection, generation, and augmentation of data sets
  • Work with domain subject matter experts to identify algorithm and model requirements 
What You'll Bring 
  • One or more years of college with some familiarity with ML, deep reinforcement learning (DRL), or large language models (LLMs)
  • A minimum grade point average of 3.3, Most recent transcripts are required with application (unofficial transcripts are acceptable)
  • Must be able to work up to 40 hours a week
  • Strong interpersonal and communication skills
Ways to Stand Out
  • Experience using machine learning frameworks such as Tensorflow or Pytorch
  • Experience with prompt engineering or retrieval augmented generation (RAG) to optimize performance of LLMs
  • Experience with Python or MATLAB
What Sets Us Apart?
SRC, Inc., a not-for-profit research and development company, combines information, science, technology and ingenuity to solve “impossible” problems in the areas of defense, environment and intelligence. Across our family of companies, we apply bright minds, fresh thinking and relentless determination to deliver innovative products and services that are redefining possible®. When you join our team, you’ll be a part of something truly meaningful — helping to keep America and its allies safe and strong. You’ll collaborate with more than 1,400 engineers, scientists and professionals — with 20 percent of those employees having served in the military — in a highly innovative, inclusive and equitable work environment. You’ll receive a competitive salary and comprehensive benefits package that includes four or more weeks of paid time off to start, 10 percent employer contribution toward retirement, and 100 percent tuition support.
 
Total compensation for this role is market competitive. The anticipated range for this position based out of Syracuse, NY or Dayton, OH is estimated at $22.00 to $26.00/hour. The actual salary will vary based on applicant’s experience, skills, and abilities, geographic location as well as other business and organizational needs. SRC offers competitive benefit options, for more details please visit our website.