Senior Machine Learning Engineer

NVIDIA is a leading technology company specializing in AI and machine learning solutions. As a Senior Machine Learning Engineer, you will develop innovative algorithms and models that enhance NVIDIA's DGX Cloud, focusing on predictive insights and operational efficiency.

Responsibilities:

• 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
• Experience solving capacity planning problems
• Deep understanding of GPU performance metrics
• Familiarity with prometheus and PromQL