NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Master's in computer science/engineering, Machine Learning, AI, and related fields (or equivalent ...
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Master's in computer science/engineering, Machine Learning, AI, and related fields (or equivalent ...
You'll work closely with customers as well as NVIDIA Research, hardware, and software teams to drive innovation and advance the state-of-the-art in accelerated Deep Learning and Machine Learning.
You'll work closely with customers as well as NVIDIA Research, hardware, and software teams to drive innovation and advance the state-of-the-art in accelerated Deep Learning and Machine Learning.
Machine Learning Intern
$27 - $42/hr
DS interns will have a designated data scientist mentor and will spend the majority of their time working on a data science project overseen by that mentor. The expectation is that at the end of the ...
Machine Learning Intern
$27 - $42/hr
DS interns will have a designated data scientist mentor and will spend the majority of their time working on a data science project overseen by that mentor. The expectation is that at the end of the ...
Machine Learning Intern
Charlotte, NC · On-site
$27 - $42/hr
DS interns will have a designated data scientist mentor and will spend the majority of their time working on a data science project overseen by that mentor. The expectation is that at the end of the ...
Machine Learning Intern
Charlotte, NC · On-site
$27 - $42/hr
DS interns will have a designated data scientist mentor and will spend the majority of their time working on a data science project overseen by that mentor. The expectation is that at the end of the ...
About the Role As a Machine Learning Engineer at Allstate, you will design, build, and operate ... Experience Entry-Level: 0-2 years (academic, internship, or professional). Mid-Level: 3+ years ...
About the Role As a Machine Learning Engineer at Allstate, you will design, build, and operate ... Experience Entry-Level: 0-2 years (academic, internship, or professional). Mid-Level: 3+ years ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
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?
| Aspect | Nvidia Machine Learning Internship | Data Science Internship |
|---|---|---|
| Required Credentials | Relevant coursework, programming skills, possibly some machine learning certifications | Statistics, programming, data analysis skills, often a related degree |
| Work Environment | Research labs, tech company offices, collaborative teams focused on AI/ML projects | Business environments, data analysis teams, cross-functional collaboration |
| Employer & Industry Usage | Tech companies, AI/ML research labs, hardware/software firms like Nvidia | Various 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 North Carolina?
The most popular types of Nvidia Machine Learning jobs in North Carolina are:
What are popular job titles related to Nvidia Machine Learning Internship jobs in North Carolina?
For Nvidia Machine Learning Internship jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Nvidia Machine Learning Internship jobs in North Carolina look for?
The top searched job categories for Nvidia Machine Learning Internship jobs in North Carolina are:
What cities in North Carolina are hiring for Nvidia Machine Learning Internship jobs?
Cities in North Carolina with the most Nvidia Machine Learning Internship job openings:
Senior Machine Learning Graphics Engineer, AI for Experiences
Durham, NC
Nvidia •
Computer and Electronic Product Manufacturing • 10K+ employees10,000+ employees
9.6
Based on 18 frontline employees who took The Breakroom Quiz
7th of 246 rated software companies
Great coworkers
People enjoy working here
Good employer
Respectful managers
Learn new skills
$135K - $167K/yr
Full-time
Re-posted 10 days ago
Job description
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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA is searching for a world-class engineer in graphics and AI to join our neural graphics product team. If you agree with us that the most exciting thing about the AI revolution is applying it to solve real problems, this team will be an excellent fit for you! We are passionate about applications in generative AI, gaming, augmented reality, user-generated content, computer vision, and other areas, with the goal of improving visual fidelity, gameplay, or other domains within the gaming and pro-visualization markets. Working with other teams throughout the company, you will productize promising research, as well as develop new features through your own work.
What you'll be doing:
Use AI for solving product problems in gaming and other interactive experiences.
Build upon the latest research to create new models and invent new ways of applying AI to advance neural graphics and gaming.
Create prototypes to demonstrate real-life applications of your ideas and to accelerate productization.
Keep up with the latest AI/DL research and collaborate with diverse teams (both internal and external to NVIDIA), including AI/DL researchers, hardware architects, and software engineers.
Participate in technology transfers to and from teams across NVIDIA.
What we need to see:
Master's in computer science/engineering, Machine Learning, AI, and related fields (or equivalent experience)
12+ years of machine learning / deep learning research or work experience
Knowledge of application areas such as real-time computer graphics, CV, and game development.
Expertise with programming systems such as Python, C+, CUDA, and deep learning frameworks such as TensorFlow and PyTorch. Very strong programming skills.
A proven track record of delivering complex products and technologies spanning multiple teams and functional areas.
Intelligent machines powered by AI computers that can learn, reason, and interact with people are no longer science fiction. Image recognition and speech recognition - GPU deep learning has provided the foundation for machines to learn, perceive, reason, and solve problems. The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA's GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for deep learning, and NVIDIA is known as "the AI computing company."
Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.You will also be eligible for equity and benefits.
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.
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
