Experience leading research and development of deep learning algorithms. Strong practical knowledge of state of the art realtime embedded deep learning techniques: - network design - compression - network sparsity - attention / selective executional so: MS or PhD in CS, Artificial Intelligence or related field. 5+ years of experience in Machine Learning with at least 2 years focused on Deep Learning. Significant experience in Deep Learning with academic and industrial track record. Good understanding of CNNs, RNNs, reinforcement learning, supervised and unsupervised learning. Strong math background particularly in optimization theory and stochastic algorithms. Hands on experience with at least one of the following tools: Caffe, Torch, TensorFlow, Theano, or similar. Excellent written and verbal communication skills.
Principal Engineers at Intel are active technical leaders inside and outside the company. Activities include participation in major industry and academic conferences, voting membership in international standards committees, generation of patents and technical papers. Note - This job code can only be assigned if an employee has participated in an official Technical Leadership Program (TLp) nomination process for his/her business group.
An employee's manager must confirm participation in TLp nomination process prior to job code assignment. Principle Engineer is a senior technical position at Intel.This position will entail leading a team looking at deep learning algorithms responsible for algorithms, applications, software and silicon. This position based in Santa Clara, USA, or Dublin, Ireland.
Inside this Business Group
Intel Labs, the New Business Initiatives group (NBI), the Perceptual Computing Group and the New Devices Group (NDG). Additionally, New Devices Group and the New Business Initiatives group were combined into the New Business Group (NBG) which nests into NTG.