Nvidia Data Science Recommender Systems Internship-PAID

Description

The Nvidia Data Science Recommender Systems Internship is available to undergraduate and graduate students pursuing a degree in computer science or related field. You must have basic knowledge of machine learning/deep learning, have experience developing with the Python data science ecosystem and Jupyter Notebooks, be familiar with developing deep learning frameworks (TensorFlow or PyTorch), and possess great debugging and problem-solving skills to be considered for this internship. As an intern, you will become familiar with Merlin and training large deep learning recommender systems, share your expertise on the deployment of RecSys models in production via a blog, support client-facing engineers, and develop and update examples within the Merlin github repo, implement prototypes, benchmark, and testing recommender systems. This internship is located in Santa Clara, CA. Average monthly compensation for a Nvidia Intern is $8,000.