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Researcher for Deep Learning/Reinforcement Learning

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, RNN,LSTM etc);
  • Expertise on (Deep)/Reinforcement Learning and Inverse Reinforcement Learning
  • Experience based on time series data/text/multimedia/language/voice data
  • Experience on NLU and ASR is a big plus.
  • Proficiency in a neural network library (e.g., TensorFlow,Torch, CAFFE…), TensorFlow is strongly preferred.
  • Strong background in machine learning (generative model, discriminative model, neural network, transfer learning, GAN, one-shot or few shot learning, meta-learning, 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 (NIPS, ICML, CVPR, AAAI, IJCAI, ICLR)
  • 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 is an EEO/Veterans/Disabled/LGBT employer. We welcome and encourage diversity as we strive to create an inclusive workplace.

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