What you’ll be doing:
Conceive deep learning approaches to solving particular product problems.
Construct and curate large problem specific datasets.
Design and implement machine learning techniques aimed at solving specific problems.
This position requires you to keep up with the latest DL research and collaborate with diverse teams (internal and external to Nvidia), including DL researchers, hardware architects, and software engineers.
Transfer technology to product groups.
What we need to see:
PhD in Electrical Engineering, Computer Science/Engineering, or a related field.
10 years of relevant work or lab/research experience
Excellent knowledge of theory and practice of machine learning.
Excellent programming skills in some rapid prototyping environment such as MATLAB or Python; C++ and parallel programming (e.g., CUDA) is a plus.
Knowledge of common machine learning frameworks.
Track record of research excellence or significant product development.
Knowledge of application areas such as computer vision or natural language processing
Excellent communications skills
Level of experience (years):
Senior (5+ years of experience)
How to apply:
Please mention NLP People as a source when applying
The first business of Alibaba Group, Alibaba.com (www.alibaba.com) is the leading platform for global wholesale trade serving millions of buyers and suppliers around the world. Through Alibaba.com, small businesses can sell their products to companies in other countries. Sellers on Alibaba.com are typically manufacturers and distributors based in China and other manufacturing countries such as India, Pakistan, the United States and Thailand.
As part of the Alibaba Group, our mission is to make it easy to do business anywhere. We do this by giving suppliers the tools necessary to reach a global audience for their products, and by helping buyers find products and suppliers quickly and efficiently.
Alibaba.com brings you hundreds of millions of products in over 40 different major categories, including consumer electronics, machinery and apparel.
Buyers for these products are located in 190+ countries and regions, and exchange hundreds of thousands of messages with supplier