Salary
💰 $184,000 - $287,500 per year
Tech Stack
AWSCloudDistributed SystemsKubernetesPythonPyTorchTensorflow
About the role
- 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
Requirements
- 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