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Nvidia Machine Learning Internship Jobs in Raleigh, NC

Quantitative Associate

Durham, NC · On-site

$125K - $140K/yr

Prior internship or project experience in finance, asset management, or a related quantitative ... Exposure to machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and techniques.

Our proprietary platform, enhanced by machine learning and robotic process automation, gives ... Accounting, Finance, Legal or Business Degree * 1+ years of relevant full time or internship ...

Prior internship or project experience in finance, asset management, or a related quantitative ... Exposure to machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and techniques.

Prior internship or project experience in finance, asset management, or a related quantitative ... Exposure to machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and techniques.

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Nvidia Machine Learning Internship information

See Raleigh, NC salary details

$24.8K

$41.4K

$85.5K

How much do nvidia machine learning internship jobs pay per year?

As of May 30, 2026, the average yearly pay for nvidia machine learning internship in Raleigh, NC is $41,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 per year, depending on experience, location, and employer.

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 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 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 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 Raleigh, NC? The most popular types of Nvidia Machine Learning jobs in Raleigh, NC are:
What are popular job titles related to Nvidia Machine Learning Internship jobs in Raleigh, NC? For Nvidia Machine Learning Internship jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Nvidia Machine Learning Internship jobs in Raleigh, NC look for? The top searched job categories for Nvidia Machine Learning Internship jobs in Raleigh, NC are:
Quantitative Associate

Quantitative Associate

Duke University

Durham, NC • On-site

$125K - $140K/yr

Full-time

Medical, Dental, Retirement

Posted 17 days ago


Duke University rating

6.5

Company rating: 6.5 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

433rd of 529 rated colleges and universities


Job description

Be You. Be Bold. Choose Duke.
Be You.
DUMAC is the investment office that manages a multi-billion dollar global portfolio on behalf of Duke University and other pools of capital. Our mission is to provide critical financial support to the university for professorships, student scholarships, and pioneering research. The Data Science & Risk team serves as a central quantitative hub, partnering with all investment groups to drive data-informed decision-making, enhance portfolio construction, and manage risk.
DUMAC is seeking a highly motivated and intellectually curious Quantitative Associate/Analyst to join our Data Science & Risk team. This role is designed to provide deep, cross-functional exposure to all aspects of institutional investing. You will work on high-impact projects that span our Public, Private, and Direct investment portfolios, as well as our back-office operations.
This position offers a robust training ground for a career in quantitative finance and asset management, with the potential for long-term advancement within the organization for exceptional performers. You will be a key contributor to the team, bringing fresh perspectives and technical skills to solve complex investment challenges.
Minimum Qualifications
Education
Work requires communications and analytical skills generally acquired through completion of a bachelor's degree program. An MBA and CFA are preferred.
Experience
Work requires experience in research and financial analysis, generally acquired through two years of related experience. OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION AND/OR EXPERIENCE
Be Bold.
What You'll Do:
  • Analyze and model portfolio exposures, performance, and risk across a diverse range of asset classes.
  • Develop quantitative models to assess investment manager factor exposures and identify drivers of return.
  • Contribute to private asset cash flow forecasting and pacing models to inform portfolio construction and liquidity management.
  • Research, develop, and backtest systematic investment strategies in collaboration with investment teams.
  • Explore and implement AI/ML techniques to enhance investment decision-making and optimize operational workflows.
  • Design, build, and maintain interactive dashboards and visualizations to communicate complex data and insights to stakeholders across the organization.
  • Collaborate with investment professionals and operational teams (Finance, Legal) on a variety of cross-functional projects.

What We're Looking For
  • Bachelor's or Master's degree in a quantitative field such as Finance, Economics, Statistics, Computer Science, Engineering, or Mathematics.
  • A demonstrated passion for investing and a strong desire to learn about financial markets.
  • Strong proficiency in R or Python for data analysis, modeling, and automation.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical audiences.
  • An independent thinker with a proactive mindset and a high degree of intellectual curiosity.
  • Experience building dashboards and data visualizations using tools like R Shiny, Python Dash, Tableau, or Power BI.
  • Familiarity with financial markets, different asset classes, and investment concepts is a plus, but not required.
  • Prior internship or project experience in finance, asset management, or a related quantitative field for Quantitative Analyst; 3-5-year relevant work experience for Quantitative Associate.
  • Exposure to machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and techniques.
  • Experience with database querying (e.g., SQL).

Choose Duke.
Why Join DUMAC?
  • Impact: Play a critical role in supporting the mission of a world-class university.
  • Exposure: Gain unparalleled experience across public and private markets, working directly with seasoned investment professionals.
  • Growth: Join a collaborative, mentorship-driven environment with a clear path for professional development and learning.
  • Culture: Be part of a dynamic, intellectually stimulating team that sits at the intersection of technology and finance.

Anticipated Pay Range: Duke University provides an annual base salary range for this position as USD $125,000.00 to USD $140,000.00. Duke University considers factors such as (but not limited to) scope and responsibilities of the position; candidate's work experience, education/training, and key skills; internal peer equity; as well as market and organizational considerations when extending an offer.
Your total compensation goes beyond the dollars on your paycheck. Duke provides comprehensive and competitive medical and dental care programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/
Equal Opportunity Employer: Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy- related conditions), sexual orientation, or military status.
Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.
Essential Physical Job Functions:
Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and reasonable accommodation(s) can be requested with Duke Access and Accommodations Services (email: DAAS@duke.edu; phone: 919-668-1267).

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About Duke University

Sourced by ZipRecruiter

Duke is regarded as one of America's leading research universities. Located in Durham, North Carolina, Duke is positioned in the heart of the Research Triangle, which is ranked annually as one of the best places in the country to work and live. Duke has more than 15,000 students who study and conduct research in its 10 undergraduate, graduate, and professional schools. With about 40,000 employees, Duke is the third largest private employer in North Carolina, and it now has international programs in more than 150 countries.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Durham, NC, US

Year founded

1838