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Junior Nvidia Data Scientist Jobs (NOW HIRING)

Nvidia

... Scientist to join our team and help advance our capabilities in synthetic data generation for ... maintain NVIDIA's technical leadership. * Mentor interns and junior researchers to develop ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Junior Data Scientist / Performance Data Analyst I Location: Washington, DC / Hybrid / Government Facility as Required Clearance / Background: U.S. Citizen required; ability to obtain DOJ Public ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Junior Data Scientist / Performance Data Analyst I Location: Washington, DC / Hybrid / Government Facility as Required Clearance / Background: U.S. Citizen required; ability to obtain DOJ Public ...

Winaxis

Data Scientist

Santa Clara, CA · On-site

Data Scientist - Nvidia Santa Clara from day 1 must be on-site 2nd round of interview will be F2F - Onsite at Santa Clara. ANY VISA Must have a strong and active LinkedIn profile. Worked with good ...

Find Data Science

Data Scientist

San Francisco, CA

Mentor junior data analysts and contribute to the development of their technical skills. * Document methodologies and processes to ensure that data science projects are scalable and sustainable ...

SupportFinity

Junior Data Scientist

San Francisco, CA · Remote

$10K - $12K/yr

We're looking for a Junior Data Scientist who loves exploring data, uncovering insights, and turning numbers into clear stories. In this friendly, creative team, you'll dive into data's mysteries ...

Smarsh

Lead Data Scientist

Manhattan, NY · On-site

$166 - $214/hr

Provide guidance to junior team members on model development and EDA. * Work with Product Manager(s ... Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo. * Knowledge of ...

Smarsh

Lead Data Scientist

New York, NY · On-site +1

Provide guidance to junior team members on model development and EDA * Work with Product Manager(s ... Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo * Knowledge of ...

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

As of Aug 17, 2026, the average yearly pay for junior nvidia data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Junior Nvidia Data Scientist vs Junior Machine Learning Engineer?

AspectJunior Nvidia Data ScientistJunior Machine Learning Engineer
Required CredentialsBachelor's in Data Science, Computer Science, or related field; familiarity with Nvidia toolsBachelor's in Computer Science, Software Engineering, or related; knowledge of ML frameworks
Work EnvironmentData analysis, modeling, using Nvidia GPU-accelerated toolsDeveloping, deploying ML models, often with Nvidia hardware
Industry UsageTech, AI research, data-driven companiesSoftware development, AI product teams, tech firms

Junior Nvidia Data Scientists focus on analyzing data and building models using Nvidia GPU-accelerated tools, while Junior Machine Learning Engineers develop and deploy ML models, often leveraging Nvidia hardware. Both roles require similar educational backgrounds but differ in daily tasks and industry focus.

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Junior Nvidia Data Scientist jobs near you
Infographic showing various Junior Nvidia Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Scientist, Synthetic Data Generation

Nvidia

New York, NY

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 244 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

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