We are looking for an extraordinary Machine Learning Intern within the NVIDIA Modulus team to work on our Platform- as- a- Service (PaaS) for Modulus users. This involves developing and maintaining services with high production quality standards, components for data storage and data loading, ML Model training & inferencing, ML Model storage & management, and Model evaluation metrics. We are looking for a passionate, hard-working and creative intern with a solid foundation for Machine Learning / Deep Learning architecture & service development experience.

What you'll be doing: 

• Work with some of the brightest minds in a leading AI company to develop a ML PaaS.
• Building AI/ML/DL models by applying state-of-the-art algorithms.
• Deploying the models in production by containerizing the models.
• Working on providing capability to use and fine-tune the latest state-of-the-art Machine learning & Deep Learning models depending on the use-cases.
• Actively contribute to the adoption of frameworks, standards, and new technologies.
• Collaborating with the team on production quality service development with Unit & Integration testing, CI/CD & dev-ops for these services.

What we need to see: 

• Pursuing a BS/ MS/ PhD in Computer Science, Computer Engineering, Electrical Engineering
• Strong Python programming skills
• Technical background in AI/ML/DL
• Familiarity with accelerated computing and hands-on experience with GPU computing
• Experience in developing or using major deep learning frameworks (e.g., PyTorch, Tensorflow, etc)
• Experience with container tools such as Docker
• Demonstrate experience in MLOps & Deep learning related infrastructure

Ways to stand out from the crowd: 

• Technical background in cloud/distributed infrastructure
• Experiencing building or improving CI/CD pipelines (e.g. Jenkins)
• Background with container platforms such as Kubernetes
• JavaScript, Go, and/or C/C++ programming skills
• Experience with NVIDIA RAPIDS