NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new challenges that are hard to address, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today! NVIDIA is seeking a highly skilled and experienced Data Scientist/ Machine Learning Engineer to join our growing team. You will work at the intersection of AI and software engineering, responsible for the design, development, and maintenance of the LLM MLOps platform at NVIDIA.
What You’ll Be Doing:
Collaborate with team members to identify key metrics and opportunities for improving business processes, products, and services.
Build, deploy, and maintain data management systems and back-end data infrastructure for our business intelligence pipeline.
Perform data mining, exploration, analysis, preprocessing, and feature engineering to build high-quality datasets for model training and evaluation.
Create data visualizations, reports, dashboards, and data audits.
Develop and maintain robust software solutions to automate data pipelines, model training, validation, deployment, and monitoring in production environments.
Collaborate with multi-functional teams, including software engineers, data engineers, and product managers, to deploy ML models at scale, ensuring robustness, scalability, and performance.
Stay current with the latest research and advancements in data science and machine learning and apply innovative techniques to NVIDIA’s products and services.
What We Need To See:
Master’s degree or PhD in Computer Science, Data Science, Machine Learning, or a related field (or equivalent experience).
5+ years of experience in data science, machine learning, or a similar role with a strong focus on developing and deploying ML models.
Proficiency in programming languages such as Python, R; experience with ML frameworks like TensorFlow, PyTorch, or Scikit-Learn; and experience with data science toolkits such as R, NumPy, and MatLab.
Deep understanding of machine learning algorithms, statistical analysis, and data mining techniques.
Experience in working with large datasets, including experience in data preprocessing, feature engineering, and building high-quality training datasets.
Experience with cloud-based infrastructure.
Strong problem-solving skills, with the ability to translate sophisticated business challenges into data-driven solutions.
Ways To Stand Out From The Crowd:
Experience in human annotation tools for GenAI annotation tasks.
In-depth knowledge of statistical evaluation methodologies/algorithms, metrics for assessing annotated data quality such as Krippendorf's alpha, inter-annotator agreement score.
Experience deploying models in production environments, including familiarity with cloud-based ML platforms (e.g., AWS SageMaker, Azure ML, Google AI Platform).
Proven track record of published research or contributions to open-source ML libraries and tools.
Passion for AI and a demonstrated commitment to advancing the field through innovative research and development.
With competitive salaries and a generous benefits package (www.nvidiabenefits.com ), we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!
The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Other Jobs from NVIDIA
Senior CAD Engineer
Senior Mixed Signal Design Engineer, Analog Circuit
Senior Mixed Signal Circuit Design Engineer
Senior Software Engineer, DFX CAD
Developer Technology Engineer - AI
There are more than 50,000 engineering jobs:
Subscribe to membership and unlock all jobs
Engineering Jobs
60,000+ jobs from 4,500+ well-funded companies
Updated Daily
New jobs are added every day as companies post them
Refined Search
Use filters like skill, location, etc to narrow results
Become a member
🥳🥳🥳 389 happy customers and counting...
Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.
To try it out
For active job seekers
For those who are passive looking
Cancel anytime
Frequently Asked Questions
- We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
- Salaries for the engineering jobs on our site range from $100K-$200K. On average, senior engineer positions on our EchoJobs are about $160K.
- The EchoJobs positions have been sourced and vetted from the top companies to work for in the US as a software engineer, including LinkedIn and other reputable job sites. We also have syndicated jobs from companies that have just raised funding, as well as those that have great unique products and culture. From all of these sources, our founder, Morgan, has also resourced the company's authenticity in terms of their website, public appearance, and more.
- Yes, our users asked us for just this, so now our search filters allow you to search for your top jobs via location, as well as by onsite, remote, or both. Approximately 30% of our jobs are remote, so you’ve got the best options for you!
- We have not yet implemented this option, but are considering doing so in the future. For the moment, you would need to cancel your subscription, and resubscribe when you wanted to come back.
- We add new jobs to EchoJobs every day! We scan our sources for the newest jobs, verify them, and post them to EchoJobs within minutes. We add about 2,000-3,000 new jobs for you each day!
- From starting your job search to getting hired, the entire job search process can take us software engineers anywhere between 3-6 months. However, at EchoJobs, we’re striving to shorten this duration by finding the best, newest jobs for you, so you can do less job searching, and more applying.
- We’d recommend checking EchoJobs daily, as we add new jobs to the site each day. Additionally, if you got a chance to read our previous email on “what makes EchoJobs different from any other job search tools,” we also recommended that you set a job alert based on your job filters, so if you get emails on those new jobs, you could be checking more than once per day.
- If you decide to continue with us after the 1-month trial, we definitely recommend this, as we all know it usually takes 3-6 months to find a quality job as a software engineer these days. So to best support you, we just adjusted our membership options at EchoJobs to monthly, 3 months, or 12 months (this option is more for passive job seekers looking a little bit for the future if they want to come back to work or make a job switch potentially. This lets you see what’s out there in case an even better fit job becomes available.)
- EchoJobs is truly the only job site of its kind. We want to be THE spot for you to find the best job for you, and haven’t encountered any other company doing this. Other job sites are in niches besides software engineering or focus on a small portion of engineering jobs (like a specific coding language). In the words of Morgan, our founder, “I think what makes EchoJobs different is the amount of jobs, frequency that we add new jobs (we add 2,000-3,000 new jobs daily!), and the powerful search engines to find exactly the job you want more easily and efficiently. We can provide you with the most jobs that are vetted by us, we’ll continually find more new jobs for you, and we make it easier for you to apply and get hired.
What Fellow Engineers Say