Careers At Cray

Initiate. Innovate. Dedicate. Your next is now at Cray.
Browse Open Jobs Search Open Jobs Edit Your Profile View Submitted Applications

Job details

Requisition Number 17-0228
Title Deep Learning Scientist
Location US-CA-San Jose
Position Type Full-Time
The Deep Learning Scientist is responsible for driving Cray’s strategy within the deep learning developer community.   They continuously evaluate state-of-art deep learning algorithms and advances in DL software frameworks to guide Cray’s products.   They are an active participant in the community by establishing strong tie-ups with DL experts in academia through collaborations and publicly-funded projects.  In addition they are expected to publish research findings in top conferences and journals and create new IP for Cray in neural networks.  And finally they act as an evangelist for deep learning within Cray and the broader deep learning market

Skills: In depth knowledge and working experience on the various aspects of training and deployment of deep networks Experience “in the market” supporting sales cycles, speaking at conferences, developing partnerships, etc.  Solid background in numerical optimization Publication record (e.g. NIPS, ICML, AAAI, ICLR, KDD) required Strong verbal and written communication skills; can convey complex concepts in simple, accessible terms in terms of value for a specific set of customers Balance of technical, marketing and business acumen Sense of urgency: has a bias for action; moves obstacles out of the way quickly Project organization and management Creative, out of the box thinker: challenges the status quo Demonstrated ability to exercise good judgment and communicate effectively orally and in writing   Qualifications: PhD with at least 5 years of experience in Computer Science or other engineering discipline with focus on Deep Learning and feature discovery.

In depth knowledge and working experience on the various aspects of training and deployment of neural networks.

Experience with popular deep learning frameworks such as Tensorflow, Caffe and CNTK, and preferably direct involvement with the framework developer communities.

We are proud to be an Equal Opportunity Employer including protected veterans and individuals with disabilities.
Apply On-line