Applied Deep Learning Scientist

Job description

we live in a moment of remarkable change and opportunity. Data and technology are transforming industries, society, and even the workplace–by 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.

Position will support existing team of specialists working on enterprise use-cases, specifically tasked with the transformation of IBMs internal business practices to be more AI centric. Secondary role will be that to move certain derivative works to product and work with existing enterprise clients on their own journey.
Auto req ID

144501BR
Required Education

Bachelor's Degree
Role ( Job Role )

Infrastructure Architect
State / Province

CALIFORNIA
Primary job category

Architect
Company

(0147) International Business Machines Corporation
Contract type

Regular
Employment Type

Full-Time
Is this role a commissionable/sales incentive based position?

No
Travel Required

No Travel
IBM Business Group

F&O
Preferred Education

Doctorate Degree
City / Township / Village

SAN JOSE
EO Statement

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.
Required Technical and Professional Expertise

·  Bachelor degree in computing science, comp engineering, stats, mathematics or other relevant field
·  1-5 yrs experience in applying machine learning to applied use-cases
Country/Region

United States
Preferred Technical and Professional Experience

·  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
Eligibility Requirements

none
Position Type

Professional
Early Professional Track

Not Applicable - Professional Hire