Research Engineer for Deep Learning analysis at Intel Artificial Intelligence Products Group

Job description

Job Description

About us:
The Artificial Intelligence Products Group (AIPG) is developing breakthrough technologies that will lead the next evolution of compute by offering end-to-end AI solutions that broadly spans from the data center to the edge.
Our team is focusing on Deep-Learning software and hardware technologies dedicated for state-of-the-art inference techniques.

About you:

You will learn new deep learning models, replicate state of the art results, obtain in-depth understanding of the model and its building blocks. You will Work with SW engineers to drive performance analysis and tradeoffs of HW acceleration optimizations.

Responsibilities :

• Implement new deep learning modelsin DL framework
• Evaluate unique building blocks of these models and understand tradeoffs in their implementation
• Define and developtoolsthat become part of a DL optimization framework.

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Inside this Business Group

Intel AI, 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) with the Intel AI products portfolio. 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 AI is inside AI and leading the next evolution of compute.

Desired profile

Qualifications

• MSc or Ph.D. in CS, EE, or Math
• Experience in DL frameworks. (e.g. TensorFlow, Caffe, Caffe2)
• Hands-on experience in Deep Learning or Classic Machine Learning techniques
• Ability to code research papers
• Experience in code optimization – an advantage