NVIDIA is searching for web development interns to work in our AI Infra team. Our team is enabling NVIDIA and our customers to more easily scale up machine learning workflows - machine learning at scale requires a new vocabulary for organizing and managing data, jobs and users. We are building and optimizing human-in-the-loop flows which enable massive state of the art systems in Artificial Intelligence / Machine Learning at NVIDIA and for our customers in many application spaces including medical imagery and autonomous driving.
What you'll be doing:
In this role, you will work together with our engineers, collaborate with a diverse team of user experience designers, DevOps, IT and security engineers as well as machine learning, deep learning experts. You will create human-in-the-loop and management applications at the frontier of what is possible in machine learning today and getting a front seat view of the action in this very hot space from a team and a company driving the progress at the cutting edge.
Working together to build and maintain the next generation AI Infrastructure including data ingestion, data indexing, data labeling, visualization, dashboards, data viewers and much more.
The team is full of learning opportunities and will provide plenty of excitement and rewards as we roll from concept to production.
What we need to see:
Pursuing MS in computer science, EE or a related field.
Strong knowledge in frequently used data structures and algorithms.
Strong technical background in frontend and/or backend.
Expertise in at least several web related skills: JavaScript, TypeScript, Angular, CSS/HTML5, React or Golang, Java, RDBMS, Microservices, etc.
You are highly motivated, passionate and curious about new technologies.
A good communicator to work with multiple cross country teams.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. Do you have passion for advancing the state of AI and machine learning across a variety of verticals? Do you love a challenge? If so, we want to hear from you!
Last updated: 23 hours ago
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