Conduct design and development to build and optimize deep learning software. Design, develop & optimize for deep learning training and inference frameworks.
Implement various distributed algorithms such as model / data parallel frameworks, parameter servers, dataflow based asynchronous data communication in deep learning frameworks.
Transform computational graph representation of neural network model. Develop deep learning primitives in math libraries.
Profile distributed DL models to identify performance bottlenecks and propose solutions across individual component teams.
Optimizing code for various computing hardware backends. Interacting with deep learning researchers and experience with deep learning frameworks.
The candidate should have proven track record of a leadership role in machine learning and deep learning demonstrated by patents, publications, product delivery or other means.
The candidate should have some of the following qualifications :