25 days old

Applied Deep Learning Scientist

San Jose, CA 95113
  • Job Code
    204496BR
Introduction
The infrastructure running industries likes transportation, energy, insurance, banking or healthcare is quickly changing as the worlds relationship with technology evolves. Companies have more choices than ever before between on-premise, off-premise, or a hybrid approach. Our Infrastructure Architects are responsible for keeping up with these latest and greatest of these changes and using their expertise to deliver solutions that meet the needs of our customers and products.

Your Role and Responsibilities
We live in a moment of remarkable change and opportunity. Data and technology are transforming industries, society, and even the workplaceby creating professions that did not exist before the emergence of data, cloud, social, and mobile. As the largest technology and consulting employer in the world, IBM is a leader in this global transformation and just the place to continue your career.

Global Chief Data Office (GCDO) is responsible for providing governed, regulated, secure, and efficient access to enterprise data for consumption by business units, AI centric applications and researchers. The Deep Learning (DL) groups, within the GCDO, are responsible for providing effective use of platform and infrastructure for computationally expensive workloads and to decrease the time data scientist personas spend preparing data and computational pipelines. In addition, the applied groups are tasked to accelerate cognition into internal processes, literally hundreds of processes while maintaining governance, security, privacy, and trust.

The position will support existing team of AI / DL specialists working on enterprise use-cases, specifically tasked with the transformation of IBM's internal business practices to be more AI centric. Secondary role will be to move certain derivative works to product and work with existing enterprise clients on their own journey.



Required Professional and Technical Expertise
  • Bachelor degree in computing science, computer engineering, stats, mathematics or other relevant field
  • 1-5 yrs experience in applying machine learning to applied use-cases


Preferred Professional and Technical Expertise
  • PhD in computing science, comp engineering with focus on Machine Learning, Deep Learning, Search, Optimization
  • Fundamental understanding of Machine Learning with relevant publications in AI, ML, DL
  • Productization experience, i.e. movement of research to product or new product design
  • enterprise use-cases and applying ML & DL techniques


About Business Unit
IBM

Your Life @ IBM
IBM

About IBM
IBM

Location Statement
For additional information about location requirements, please discuss with the recruiter following submission of your application.

Being You @ IBM
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Categories

Industry

  • Computers Software and Hardware
Posted: 2019-07-31 Expires: 2019-08-30

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Applied Deep Learning Scientist

IBM
San Jose, CA 95113

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