Senior Machine Learning Engineer

- 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.

- 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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

Applications for this job will be accepted at least until August 7, 2026.