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Nvidia Machine Learning Internship Jobs in Connecticut

... machine learning initiatives * Identify high-value AI use cases and guide teams on prompt ... Experience with LangChain, LangGraph, NVIDIA NIM, or Hugging Face * Experience leading AI or ERP ...

Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn. * Experience working on academic, personal, open-source, or internship projects involving AI, ML, NLP ...

Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn. * Experience working on academic, personal, open-source, or internship projects involving AI, ML, NLP ...

Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn. * Experience working on academic, personal, open-source, or internship projects involving AI, ML, NLP ...

Agentic AI Developer Intern

Stamford, CT · On-site +1

$27 - $30/hr

Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn. * Experience working on academic, personal, open-source, or internship projects involving AI, ML, NLP ...

Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn. * Experience working on academic, personal, open-source, or internship projects involving AI, ML, NLP ...

BLP Intern - Credit

Stamford, CT

$16 - $21.25/hr

Business Leadership Program Internship Overview: Synchrony's Business Leadership Program Summer ... SAS, Python, Machine Learning * Modeling skills plus experience with financial statements P&L ...

Business Leadership Program Internship Overview: Synchrony's Business Leadership Program Summer ... edge machine learning models to predict customer behavior. You will work with large and complex ...

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Nvidia Machine Learning Internship information

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 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 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 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 are the most commonly searched types of Nvidia Machine Learning jobs in Connecticut? The most popular types of Nvidia Machine Learning jobs in Connecticut are:
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What cities in Connecticut are hiring for Nvidia Machine Learning Internship jobs? Cities in Connecticut with the most Nvidia Machine Learning Internship job openings:
Extended Care and Learning Student Interns 2025-2026 **continuous posting**

Extended Care and Learning Student Interns 2025-2026 **continuous posting**

Farmington Public Schools

Farmington, CT

$16.35/hr

Other

Re-posted 5 days ago


Job description

Farmington Extended Care & Learning seeking Student Interns for the 2025-2026 School Year.
Great position for High School Students looking to add experience to their resume!
QUALIFICATIONS:


 
  • Multiple positions available across elementary schools
  • Hours are 3:00 - 5:30 PM or 3:00 - 6:00 PM; variety of days available
 
Hourly rate:  Minimum wage (currently $16.35 per hour)
 
 
 

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