Urgent! Deep Learning Scientist, LLM Training Datasets Job Opening In Santa Clara – Now Hiring NVIDIA
NVIDIA is looking for a dedicated Deep Learning Scientist specializing in LLM training datasets engineering.
This is a highly technical role requiring deep expertise in machine learning, data science and data engineering to develop innovative solutions that address the unique challenges of training foundation models.
This role involves addressing innovative machine learning challenges through building and improving our data ecosystem.
What you'll be doing:
+ Develop datasets for LLM pre-training and post training (fine-tuning and reinforcement learning), optimize models and evaluate performance.
+ Design and implement data strategies for model training and evaluation that includes data collection, cleaning, labeling, augmentation, RL verifier datasets to improve model performance.
Actively identify and manage data issues such as outliers, noise, and biases.
+ Generate high-quality synthetic data to augment existing datasets, especially for domain-specific or safety-critical use cases and multi-modal use cases (text, image, video, etc)
+ Define data annotation guidelines and curate high-quality labeled datasets for model alignment, including reinforcement learning with human feedback (RLHF).
+ Conduct experiments to optimize Large Language Models with SFT and RL techniques.
+ Design and develop systems for reasoning, tool calling, multi-modal processing, RL verifiers.
+ Implement post-training tasks for LLMs, including fine-tuning, RL, distillation, and performance evaluation, and adjust hyperparameters to improve model quality.
+ Partner with ML researchers, data scientists, and infrastructure teams to understand data needs, integrate datasets, and deploy efficient ML workflows.
What we need to see:
+ You have a Master’s or PhD in Computer Science, Electrical Engineering or related field - or equivalent experience.
+ 3+ years of work experience in developing datasets and training large language models or other generative AI models.
+ Hands-on programming expertise in python.
+ Solid understanding of machine learning concepts and algorithms for managing data and experiments, including multi-modal datasets.
+ Experience with synthetic data generation techniques, and evaluation strategies.
+ Background with high-performance data processing libraries and machine learning frameworks like PyTorch, Data Loader, TensorFlow Data.
+ Experience with alignment/fine-tuning of LLMs, VLMs (img-to-text, vid-to-text)or any-to-text large models.
+ Familiarity with distributed training paradigms and optimization techniques.
+ Good at problem solving and analytical ability as well as excellent collaboration and communication skills.
+ Demonstrates behaviors that build trust: humility, transparency, respect, intellectual integrity.
Ways to stand out from the crowd:
+ Strong track record of contributions to open-source data tools or research publications.
+ Experience with cloud platforms (e.g., AWS, GCP, Azure) and data storage systems (e.g., S3, Google Cloud Storage).
+ Stay ahead of research: Continuously evaluate new tools, techniques, and methodologies in data engineering and generative AI to improve training data infrastructure.
+ Passion for AI and a demonstrated commitment to advancing the field through innovative research, prior scientific research and publication experience.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers.
We have some of the most forward-thinking and hardworking people in the world working with us and our engineering teams are growing fast in some of the hottest state of the art fields: Deep Learning, Artificial Intelligence, and Large Language Models.
If you're a creative engineer with a real passion for robust and enjoyable user experiences, 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 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) .
Applications for this job will be accepted at least until October 21, 2025.
NVIDIA is committed to fostering a diverse 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.
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your Deep Learning Potential: Insight & Career Growth Guide
Real-time Deep Learning Jobs Trends in Santa Clara, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Deep Learning in Santa Clara, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 6388 jobs in United States and 189 jobs in Santa Clara. This comprehensive analysis highlights market share and opportunities for professionals in Deep Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! NVIDIA is currently hiring and seeking a Deep Learning Scientist, LLM Training Datasets to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Deep Learning Scientist, LLM Training Datasets Jobs Santa Clara.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at NVIDIA adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Deep Learning Scientist, LLM Training Datasets Jobs United States varies, but the pay scale is rated "Standard" in Santa Clara. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Deep Learning Scientist, LLM Training Datasets typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Deep Learning Scientist, LLM Training Datasets, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Deep Learning Scientist, LLM Training Datasets interview at NVIDIA, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the NVIDIA's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for Deep Learning Scientist, LLM Training Datasets is easy with United States Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!