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As a Senior Machine Learning Engineer at NVIDIA, you will build the machine learning brain that keeps NVIDIA's global DGX Cloud healthy, efficient and ready for the next waves of AI breakthroughs.
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| Aspect | Senior Tesla Machine Learning Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's/Master's in CS, EE, or related; experience in ML frameworks | Bachelor's/Master's in CS, Statistics, or related; strong analytical skills |
| Work Environment | Develops ML models for autonomous vehicles, energy, and manufacturing | Analyzes data to extract insights, supports product and business decisions |
| Employer & Industry Usage | Tesla, automotive, energy, AI projects | Various industries including tech, finance, healthcare |
While both roles involve working with data and algorithms, the Senior Tesla Machine Learning Engineer focuses on developing and deploying machine learning models for Tesla's products, especially autonomous systems. In contrast, a Data Scientist primarily analyzes data to inform business decisions across various industries. The ML Engineer role requires deeper expertise in machine learning frameworks and deployment, whereas Data Scientists focus more on statistical analysis and data visualization.
$114K - $157K/yr
Full-time
Posted 8 days ago
9.6
Based on 17 frontline employees who took The Breakroom Quiz
7th of 243 rated software companies
As a Senior Machine Learning Engineer at NVIDIA, you will build the machine learning brain that keeps NVIDIA's global DGX Cloud healthy, efficient and ready for the next waves of AI breakthroughs. DGX Cloud fuses NVIDIA GPUs, NVLink networking and the full AI software stack into elastic infrastructure powering large language models, drug discovery, autonomous driving and climate science. Your models will turn billions of telemetry signals into predictive insight. This frees customers to innovate while our platform runs smarter.
What you'll be doing:
Ground breaking and developing innovative machine learning algorithms and models that propel our AI products.
Build production models for anomaly detection, predictive maintenance and usage optimization.
Develop tools surfacing real time telemetry, efficiency metrics and long term trends.
Develop forecasting and simulation models for global scale planning.
Analyzing complex datasets to determine the best approach for model training and optimization.
Translate findings into clear engineering actions with infrastructure, operations and product teams.
Participating in cross-functional projects to integrate machine learning capabilities into various NVIDIA products.
What we need to see:
Master's degree or PhD in Mathematics, Statistics, Machine Learning or related quantitative field (or equivalent experience).
8+ years experience applying Machine Learning to operational systems.
Proven track record of building and deploying Machine Learning models in production environments.
Experience with time series analysis and optimization algorithms.
Familiarity with distributed systems and cloud platforms such as AWS and Kubernetes.
Strong software engineering skills and proficiency in Python.
Effective verbal/written communication, and technical presentation skills.
Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
A track record of delivering high-impact projects to compete in a fast-paced environment.
Ways to stand out from the crowd:
Experience solving capacity planning problems.
Deep understanding of GPU performance metrics.
Familiarity with prometheus and PromQL.
You will also be eligible for equity and benefits.
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.
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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.
Computer and electronic product manufacturing
10,000+ Employees
Santa Clara, CA, US
1993
