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Data Scientist

Intel


Location:
Santa Clara, CA
Date:
08/18/2017
2017-08-182017-09-16
Job Code:
JR0025129
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Job Details

Data Scientist Careers at Intel in Santa Clara, CA
   
Job ID: JR0025129
Job Category: Engineering Support
Primary Location: Santa Clara, CA US
Other Locations: US, California, San Diego;
Job Type:

Data Scientist

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
• Developing our Deep Learning framework
• Inventing novel models that combine unsupervised and supervised learning, reinforcement learning
• Developing deep learning algorithms to exploit novel distributed processor architectures

 



Qualifications
Who we are looking for Master’s or PhD in computer science, electrical engineering or related fields (statistics, applied math, computational neuroscience) 3+ years of experience in the following area: • Background in DL, ML algorithms and model development • Experience designing and developing professional software using Python, C++ • Drive to solve customers’ problems using technical creativity and hard work • Experience with participating and winning Kaggle competitions Preferred Qualifications: • Familiarity with DL, ML frameworks (eg. neon, TensorFlow, Caffe, etc.) • Familiarity with details of implementing algorithms on multi-core CPUs, clusters (MPI), GPUs, • heterogenous clusters, distributed frameworks (eg. GraphLab, Spark, Hadoop)



Other Locations
US, California, San Diego;


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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