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Deep Learning Engineer / Researcher

Intel


Location:
Santa Clara, CA
Date:
01/22/2018
2018-01-222018-02-20
Job Code:
JR0035170
Categories:
  • Engineering
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Job Details

Deep Learning Engineer / Researcher Careers at Intel in Santa Clara, CA
   
Job ID: JR0035170
Job Category: Engineering
Primary Location: Santa Clara, CA US
Other Locations: US, California, San Diego;US, California, San Francisco
Job Type: Experienced Hire

Deep Learning Engineer / Researcher

Job Description

What you will be working on

 

Cutting edge problems in applied deep learning, machine learning, and AI in one or more of the following areas:

Computer vision, object detection and localization, speech recognition, natural language processing, recommendation systems, forecasting, and multimodal learning

• Inventing novel models that combine unsupervised and supervised learning, reinforcement learning

• Developing deep learning algorithms to exploit novel distributed processor architectures

• Developing our Deep Learning framework


Qualifications

Inside this Business Group

Intel Nervana, leveraging Intel’s world leading position in silicon innovation and proven history in creating the compute standards that power our world, is transforming Artificial Intelligence (AI). Harnessing silicon designed specifically for AI, end-to-end solutions that broadly span from the data center to the edge, and tools that enable customers to quickly deploy and scale up, Intel Nervana is inside AI and leading the next evolution of compute.



Other Locations

US, California, San Diego;US, California, San Francisco


Posting Statement. Intel prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

   

As an electronics industry innovator and a leader in corporate responsibility, we look for ways to apply our technology to address global challenges while serving as a role model for how companies should operate.

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