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Ph.D Research Internship for Deep Learning/Reinforcement Learning for Predictive Analytics

Position Summary:

Samsung Research America is located in Mountain View, California is currently recruiting world-class professionals who share our "Innovation through Passion" philosophy and thrive in a fast-pace, cross team, results-driven environment, with focus on highly visible, challenging, and cross discipline projects.



Common Essential Duties & Responsibilities:

Develop and implement novel deep learning/reinforcement learning algorithms for semantic understanding models, intention prediction and personalized recommendations etc..
Contribute to the research activities of our team; participate and lead some of the research efforts
Formulate research problems based on real-world needs and independently conduct high-quality research
Generate creative solutions (patents) and publish research results in top conferences (papers)


Background / Experience:

Expertise in one or more of the following areas:

Expertise in deep learning (CNN,RNN,DBN,DBM), Expertise in RNN,LSTM is preferred
Deep/reinforcement learning experience on semantic understanding models from time series data/text/multimedia data, intention prediction and personalized recommendations
Proficiency in a neural network library (e.g., TensorFlow,Theano,Torch…)
Strong background in machine learning (generative model, discriminative model, neural network, regression, classification, clustering, etc.)
Excellent knowledge in optimal computational environment required for data processing, mining and machine learning
Proven track record of research/publications on machine learning and artificial intelligence field
Ph.D. in Computer Science, Electrical Engineering, or related field is required


Necessary Skills / Attributes:

Excellent communication skills and willingness to work with an international team to deliver rapid prototypes


Samsung Research America is an Equal Employment Opportunity Employer

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