ZipRecruiter

Log In

1

Intern Nvidia Data Scientist Jobs (NOW HIRING)

Smarsh

Lead Data Scientist

Manhattan, NY · On-site

$166 - $214/hr

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo. * Knowledge of ...

Smarsh

Lead Data Scientist

New York, NY · On-site +1

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo * Knowledge of ...

Smarsh

Lead Data Scientist

New York, NY

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo * Knowledge of ...

Smarsh

Lead Data Scientist

Atlanta, GA · Remote

$166K - $214K/yr

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo * Knowledge of ...

Smarsh

Lead Data Scientist

Atlanta, GA

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo * Knowledge of ...

Smarsh

Lead Data Scientist

Atlanta, GA · On-site

$214K/yr

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo * Knowledge of ...

Smarsh

Lead Data Scientist

OR · On-site +1

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo * Knowledge of ...

Smarsh

Lead Data Scientist

OR · Remote

$166K - $214K/yr

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo * Knowledge of ...

IntelliGenesis

Senior Data Scientist

Boerne, TX · On-site

As a Data Scientist in IG Labs, you will utilize your analytic and methodological skills and use ... Experience NVIDIA Technology & frameworks * Experience with data transport and transformation APIs ...

previous pagenext page

Showing results 21-40

All Jobsinternship JobsIntern Nvidia Data Scientist Jobs

Intern Nvidia Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do intern nvidia data scientist jobs pay per year?

As of Aug 18, 2026, the average yearly pay for intern nvidia data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What does an intern Nvidia data scientist do?

An Intern Nvidia Data Scientist works with experienced teams to analyze large datasets, develop models, and create data-driven solutions using machine learning and deep learning techniques. The role often includes tasks like data cleaning, exploratory analysis, model training, and performance evaluation. Interns may also help optimize algorithms for Nvidia hardware platforms and contribute to real-world projects that impact Nvidia’s products and services. This experience provides interns with valuable exposure to cutting-edge AI technologies and industry best practices.

What types of projects can an intern Nvidia data scientist expect to work on?

As a Data Scientist intern at Nvidia, you can expect to work on a variety of projects that leverage large datasets and advanced machine learning techniques. Typical assignments may involve developing models for computer vision, natural language processing, or GPU-accelerated data analytics. You'll likely collaborate closely with experienced scientists, software engineers, and product teams, contributing to both research-oriented and production-focused tasks. These projects offer valuable exposure to real-world challenges and cutting-edge technologies, providing an excellent foundation for future career growth in the field.

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

To thrive as an Intern Nvidia Data Scientist, you need a strong background in statistics, machine learning, programming (Python, R), and a relevant degree in computer science, data science, or a related field. Familiarity with tools like TensorFlow, PyTorch, CUDA, and data visualization software is often expected. Strong problem-solving abilities, communication skills, and a collaborative mindset help you stand out in this role. These competencies are crucial for successful project contributions, effective teamwork, and leveraging Nvidia's advanced technologies in real-world data science applications.

What is the difference between Intern Nvidia Data Scientist vs Intern Nvidia Data Analyst?

AspectIntern Nvidia Data ScientistIntern Nvidia Data Analyst
Required CredentialsRelevant degree in Data Science, Computer Science, or related field; programming skills in Python, R; basic understanding of machine learningDegree in Data Analysis, Statistics, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams focusing on advanced analytics, machine learning models, and AI projectsData reporting, visualization, and interpreting data trends for business insights
Employer & Industry UsageUsed across Nvidia's AI, autonomous vehicles, and research divisionsApplied in marketing, sales, and product teams for data-driven decision making

Intern Nvidia Data Scientists focus on developing machine learning models and advanced analytics, requiring programming and statistical skills. Intern Nvidia Data Analysts primarily interpret data and create reports, emphasizing data visualization and business insights. Both roles are valuable in Nvidia's tech environment but differ in technical depth and project scope.

More about Intern Nvidia Data Scientist jobs

What cities are hiring for Intern Nvidia Data Scientist jobs?

Cities with the most Intern Nvidia Data Scientist job openings:

What are the most commonly searched types of Nvidia Data Scientist jobs?

The most popular types of Nvidia Data Scientist jobs are:

What states have the most Intern Nvidia Data Scientist jobs?

States with the most job openings for Intern Nvidia Data Scientist jobs include:

What job categories do people searching Intern Nvidia Data Scientist jobs look for?

The top searched job categories for Intern Nvidia Data Scientist jobs are:

Intern Nvidia Data Scientist jobs near you
Infographic showing various Intern Nvidia Data Scientist job openings in the United States as of August 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 100% In-person job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Senior Scientist, Synthetic Data Generation

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 7 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies

Job description

NVIDIA is at the forefront of the AI revolution, and our research is shaping the future of large language models. We are looking for a Senior Scientist to join our team and help advance our capabilities in synthetic data generation for training frontier models. You will contribute to open-source libraries within the NVIDIA NeMo ecosystem that generate synthetic datasets across text, code, structured, and multimodal data, directly feeding the pre- and post-training of LLMs such as Nemotron. This role combines hands-on software engineering with applied research in generative methods, and you will collaborate with research, engineering, product, and model teams as well as external labs.
What you'll be doing:
  • Build synthetic data generation pipelines using LLM-based methods and automated quality evaluation, producing datasets that improve the pre- and post-training of LLMs such as Nemotron - reasoning, coding, structured output, and multimodal understanding.
  • Advance multimodal synthetic data generation - image, document, video, and audio - in partnership with NVIDIA's model teams.
  • Design and maintain open-source libraries and SDKs with clean APIs and strong documentation.
  • Drive software excellence with modern tooling, architecture based on configuration, and professional Git/CI-CD.
  • Publish original research at top machine learning and AI conferences to maintain NVIDIA's technical leadership.
  • Mentor interns and junior researchers to develop technical growth within the team.

What we need to see:
  • PhD in Computer Science, Machine Learning, Statistics, or a related field, or equivalent experience.
  • A research background of 3+ years in synthetic data generation, generative modeling, multimodal machine learning, or related areas. Comparable experience is also considered.
  • Deep technical understanding of LLMs, how data shapes their pre- and post-training, and inference frameworks such as vLLM or TGI.
  • Proven track record of developing or maintaining software libraries used by a broad developer community.
  • Strong publication record at premier venues such as NeurIPS, ICML, ICLR, ACL or similar.

Ways to stand out from the crowd:
  • Open-source contributions in ML or data tooling.
  • Experience with multimodal generation or understanding (vision-language, document AI, video, or audio).
  • Building and optimizing scalable data pipelines for large-scale model training (throughput, distributed inference).
  • Experience generating data for agentic, tool-use, or reinforcement-learning post-training.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and talented people in the world working with us. If you are creative, autonomous, and passionate about building open-source tools that make AI safer and more private, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 3, and 192,000 USD - 304,750 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 10, 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

Nvidia logo

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

Year founded

1993

View All Nvidia Jobs

Apply