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 ...
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 ...
Senior Scientist, Synthetic Data Generation
Santa Clara, CA · On-site
$192 - $305/hr
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 ...
Senior Scientist, Synthetic Data Generation
Santa Clara, CA · On-site
$192 - $305/hr
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 ...
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 ...
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 ...
Senior Scientist, Synthetic Data Generation
OR · On-site +1
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 ...
Senior Scientist, Synthetic Data Generation
OR · On-site +1
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
Research Engineer, Synthetic Data Generation
Burlingame, CA · On-site
$183K/yr
Research Engineer, Synthetic Data Generation Responsibilities: * Explore, innovate, and leverage novel technologies, from internal and external publications, to improve the realism, diversity ...
Research Engineer, Synthetic Data Generation
Burlingame, CA · On-site
$183K/yr
Research Engineer, Synthetic Data Generation Responsibilities: * Explore, innovate, and leverage novel technologies, from internal and external publications, to improve the realism, diversity ...
Meta Reality Labs is looking for a lead computer vision engineer to drive synthetic data generation and simulation for our AR/VR products, including the.
Meta Reality Labs is looking for a lead computer vision engineer to drive synthetic data generation and simulation for our AR/VR products, including the.
Senior/Staff FDE - Synthetic Data Generation
New York, NY · On-site +1
$116K - $157K/yr
Main Responsibilities Synthetic Data Generation & Evaluation * Design and build scalable synthetic data generation, transformation, filtering, and evaluation pipelines for complex AI use cases
Senior/Staff FDE - Synthetic Data Generation
New York, NY · On-site +1
$116K - $157K/yr
Main Responsibilities Synthetic Data Generation & Evaluation * Design and build scalable synthetic data generation, transformation, filtering, and evaluation pipelines for complex AI use cases
Research Engineer, Synthetic Data Generation
Burlingame, CA · On-site
$183K - $257K/yr
Meta Reality Labs is looking for a lead computer vision engineer to drive synthetic data generation and simulation for our AR/VR products, including the Quest line. This role will contribute to the ...
Research Engineer, Synthetic Data Generation
Burlingame, CA · On-site
$183K - $257K/yr
Meta Reality Labs is looking for a lead computer vision engineer to drive synthetic data generation and simulation for our AR/VR products, including the Quest line. This role will contribute to the ...
Senior/Staff FDE - Synthetic Data Generation
New York, NY · On-site
$116K - $157K/yr
About the Role Snorkel AI is hiring a Forward Deployed Engineer focused on Synthetic Data Generation to partner with leading AI labs and enterprises on their most critical AI initiatives. In this ...
Senior/Staff FDE - Synthetic Data Generation
New York, NY · On-site
$116K - $157K/yr
About the Role Snorkel AI is hiring a Forward Deployed Engineer focused on Synthetic Data Generation to partner with leading AI labs and enterprises on their most critical AI initiatives. In this ...
Synthetic Data Engineer (AI Data/Training)
San Francisco, CA · On-site
$134K - $162K/yr
In this role, you will design and implement domain-specific synthetic data generation pipelines, ensuring high-quality data management for training loops. Your expertise will drive the success of ...
Synthetic Data Engineer (AI Data/Training)
San Francisco, CA · On-site
$134K - $162K/yr
In this role, you will design and implement domain-specific synthetic data generation pipelines, ensuring high-quality data management for training loops. Your expertise will drive the success of ...
Synthetic Data Engineer (AI Data/Training)
Seattle, WA · On-site
$130K - $156K/yr
In this role, you will design and implement domain-specific synthetic data generation pipelines, ensuring high-quality data management for training loops. Your expertise will drive the success of ...
Synthetic Data Engineer (AI Data/Training)
Seattle, WA · On-site
$130K - $156K/yr
In this role, you will design and implement domain-specific synthetic data generation pipelines, ensuring high-quality data management for training loops. Your expertise will drive the success of ...
Synthetic Data Engineer (AI Data/Training)
Boston, MA · On-site
$124K - $149K/yr
In this role, you will design and implement domain-specific synthetic data generation pipelines, ensuring high-quality data management for training loops. Your expertise will drive the success of ...
Synthetic Data Engineer (AI Data/Training)
Boston, MA · On-site
$124K - $149K/yr
In this role, you will design and implement domain-specific synthetic data generation pipelines, ensuring high-quality data management for training loops. Your expertise will drive the success of ...
Research Engineer, Synthetic Data
San Francisco, CA · On-site
$150K - $250K/yr
You'll design generation methods, validation systems, and quality metrics that directly expand ... Build end-to-end synthetic data pipelines that transform domain-specific workflows into structured ...
Quick apply
Research Engineer, Synthetic Data
San Francisco, CA · On-site
$150K - $250K/yr
You'll design generation methods, validation systems, and quality metrics that directly expand ... Build end-to-end synthetic data pipelines that transform domain-specific workflows into structured ...
Research Engineer, Synthetic Data
San Francisco, CA · On-site
$150K - $250K/yr
You'll design generation methods, validation systems, and quality metrics that directly expand ... Build end-to-end synthetic data pipelines that transform domain-specific workflows into structured ...
Research Engineer, Synthetic Data
San Francisco, CA · On-site
$150K - $250K/yr
You'll design generation methods, validation systems, and quality metrics that directly expand ... Build end-to-end synthetic data pipelines that transform domain-specific workflows into structured ...
Member of Technical Staff - Simulation (Synthetic Data Generation), Frontier AI & Robotics (FAR)
San Francisco, CA · On-site
We are seeking a Simulation Engineer to join our AI robotics research team, focusing on high-fidelity synthetic data generation. In this role, you will leverage classic game engine architecture, 3D ...
Member of Technical Staff - Simulation (Synthetic Data Generation), Frontier AI & Robotics (FAR)
San Francisco, CA · On-site
We are seeking a Simulation Engineer to join our AI robotics research team, focusing on high-fidelity synthetic data generation. In this role, you will leverage classic game engine architecture, 3D ...
Member of Technical Staff - Simulation (Synthetic Data Generation), Frontier AI & Robotics (FAR)
San Francisco, CA · On-site
We are seeking a Simulation Engineer to join our AI robotics research team, focusing on high-fidelity synthetic data generation. In this role, you will leverage classic game engine architecture, 3D ...
Member of Technical Staff - Simulation (Synthetic Data Generation), Frontier AI & Robotics (FAR)
San Francisco, CA · On-site
We are seeking a Simulation Engineer to join our AI robotics research team, focusing on high-fidelity synthetic data generation. In this role, you will leverage classic game engine architecture, 3D ...
Synthetic Data Generation information
See salary details
$31K - $43.5K
12% of jobs
$47.6K is the 25th percentile. Wages below this are outliers.
$43.5K - $56.1K
41% of jobs
$56.1K - $68.6K
4% of jobs
$68.6K - $81.2K
3% of jobs
$81.2K - $93.7K
2% of jobs
$93.7K - $106.3K
0% of jobs
$106.3K - $118.8K
0% of jobs
$118.8K - $131.4K
5% of jobs
$139.5K is the 75th percentile. Wages above this are outliers.
$131.4K - $143.9K
11% of jobs
$143.9K - $156.5K
11% of jobs
$156.5K - $169K
11% of jobs
$31K
$93.2K
$169K
How much do synthetic data generation jobs pay per year?
As of Sep 6, 2026, the average yearly pay for synthetic data generation in the United States is $93,198.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $144,500.00 per year, depending on experience, location, and employer.
What is synthetic data generation?
Synthetic data generation is the process of creating artificial datasets that mimic real-world data. This technique is used to supplement or replace actual data for purposes such as machine learning, software testing, and research, especially when real data is scarce, sensitive, or costly to obtain. Synthetic data can help improve model accuracy, protect privacy, and enable innovation by providing diverse and unbiased datasets. It is commonly used in fields like healthcare, finance, and autonomous vehicles.
What are the key skills and qualifications needed to thrive in synthetic data generation?
To excel in a Synthetic Data Generation role, you need a solid background in computer science, statistics, and data science, often supported by a relevant degree and experience in machine learning. Familiarity with tools such as Python, TensorFlow, PyTorch, and synthetic data generation platforms, as well as knowledge of privacy-preserving techniques, is typically required. Strong problem-solving abilities, creativity, and effective communication set top performers apart in this field. These skills and qualities are crucial for creating high-quality, realistic synthetic datasets that support robust AI model development while safeguarding sensitive information.
What are the main challenges faced by professionals working in synthetic data generation, and how can they be addressed?
Professionals in synthetic data generation often encounter challenges such as ensuring the generated data accurately represents real-world scenarios while maintaining privacy and data security. Balancing realism with anonymization is crucial, especially when synthetic data is used for AI model training or testing. Collaboration with data scientists, domain experts, and privacy officers is common to validate data utility and compliance with regulations. Staying current with advances in generative models and data validation techniques also helps address these challenges and contributes to career growth in this rapidly evolving field.
What is the difference between Synthetic Data Generation vs Data Analyst?
| Aspect | Synthetic Data Generation | Data Analyst |
|---|---|---|
| Required Credentials | Knowledge of data science, programming, and data privacy | Degree in statistics, data science, or related field |
| Work Environment | Data science teams, research labs, tech companies | Business environments, analytics teams, consulting firms |
| Industry Usage | AI development, machine learning, data privacy | Business insights, reporting, decision-making |
| Search & Comparison Intent | Understanding data generation techniques, privacy solutions | Analyzing data, generating reports, insights |
While Synthetic Data Generation focuses on creating artificial data for privacy and model training, Data Analysts interpret existing data to provide business insights. Both roles require data-related skills but serve different purposes within the data ecosystem.
More about Synthetic Data Generation jobs
What cities are hiring for Synthetic Data Generation jobs?
Cities with the most Synthetic Data Generation job openings:
What states have the most Synthetic Data Generation jobs?
States with the most job openings for Synthetic Data Generation jobs include:
What job categories do people searching Synthetic Data Generation jobs look for?
The top searched job categories for Synthetic Data Generation jobs are:
Full-time
Re-posted 27 days ago
Nvidia rating
9.6
Based on 18 frontline employees who took The Breakroom Quiz
6th of 247 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.
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