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Senior Data Scientist/Deep Learning Engineer

Intel


Location:
San Diego, CA
Date:
10/20/2017
2017-10-202017-11-18
Job Code:
JR0029474
Categories:
  • Engineering
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Job Details

Senior Data Scientist/Deep Learning Engineer Careers at Intel in San Diego, CA
   
Job ID: JR0029474
Job Category: Engineering Support
Primary Location: San Diego, CA US
Other Locations: US, California, Santa Clara;
Job Type:

Senior Data Scientist/Deep Learning Engineer

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
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your school work/classes/research and/or relevant previous job and/or internship experiences. 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, Santa Clara;


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