Deep Learning Engineer / Researcher
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
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. * Master's or PhD in computer science, electrical engineering or related fields (statistics, applied math, computational neuroscience) * 3 years of experience in DL, ML algorithms and model development * Proficiency in Python, C . Familiarity with DL frameworks (e.g. neon, TensorFlow, Caffe, etc.) * Drive to solve customers' problems using technical creativity and hard work * Experience with participating and winning Kaggle competitions Preferred Qualifications: * Research experience in deep learning * Understanding of deep learning hardware (CPU, GPU, multi-node)
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.
US, California, San Diego;US, California, San Francisco
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A little about us:
Our vision is simple and direct. If it computes, it does it best with Intel. We embrace all aspects of computing.