About us:

Intel Labs is Intel’s world-class, industry-leading research organization, responsible for driving Intel's technology pipeline and creating new opportunities.

The AI Lab develops breakthrough technologies that will lead to the next evolution of computing by offering end-to-end AI solutions that broadly span from the data center to the edge. Our team is focusing on Deep-Learning software and hardware technologies dedicated to state-of-the-art inference and training techniques. We have open-sourced NLP Architect, are avid open source supporters, and actively publish papers at the leading conference.

About You

We are looking for a talented AI research student to help our research efforts in the field of neural network compression (e.g. pruning, quantization, neural architecture search) for existing and next-generation hardware products in areas such as natural language, speech, and vision.

The job responsibilities may include but are not limited to:

• Working with leading architects on analysis of large-scale deep learning topologies and map the bottlenecks
• Implement innovative optimization methods to optimize neural networks for specific hardware product
• Publish papers in top tier deep learning conferences.
• Contribute to Intel’s open-source deep-learning projects

Qualifications

 Qualifications

• BSc. or MSc. Student in Computer Science, Computer Engineering, or related field.
• Python proficiency, experience in one of the ML frameworks such as PyTorch, TensorFlow
• Track record of creativity and innovation
• Familiarity with DL theory and algorithms
• Understanding of system architecture and hardware design.
• Good written and verbal communication skills for expressing technical ideas and initiatives.

•  Nice To Have

• Developing/maintaining AI research open-source software projects.

Intel Labs is the company's world-class, industry leading research organization, responsible for driving Intel's technology pipeline and creating new opportunities. The mission of Intel Labs is to deliver breakthrough technologies to fuel Intel's growth. This includes identifying and exploring compelling new technologies and high risk opportunities ahead of business unit investment and demonstrating first-to-market technologies and innovative new usages for computing technology. Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units.