Research Scientist (NLP) - Pasadena

Company: Oben Bouwmachines
Location: Pasadena , California, United States
Type: Full-time
Posted: 02.NOV.2018
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Summary

Job Description: ObEN is an artificial intelligence company that is building a decentralized AI platform for Personal AI (PAI), intelligent...

Description

Job Description:

ObEN is an artificial intelligence company that is building a decentralized AI platform for Personal AI (PAI), intelligent 3D avatars that look, sound, and behave like the individual user. Founded in 2014, ObEN is a K11, Tencent, Softbank Ventures Korea and HTC Vive X portfolio company and is located at Idealab in Pasadena, California. Come see what it's like to take on extraordinary transformations every day, in an environment buzzing with smart people (including our team of world class scientists in areas of NLP, computer vision,speech, and blockchain) who understand and respect what you do. For researchers and engineers, we also encourage and support publications to top conferences and journals. Learn more about working at ObEN in our blog post.

ObEN is seeking a Research Scientist to join our Full Stack AI/Natural Language and Translation Technologies team in Pasadena, CA. The successful candidate will join a team of researchers and engineers working to apply NLP technology across a wide array of languages andintegrating the technology into the world's first blockchain based platform for Personal Artificial Intelligence. We are looking for candidates interested in extending the boundaries of NLP technology, building novel solutions, and delivering cross-lingual technologies with the potential to deliver more useful, more personalized artificial intelligence to our users worldwide.

The ideal candidate will have a strong research background in NLP demonstrated by publications in top NLP conferences, a strong knowledge of machine learning and deep learning, and experience working with massive amounts of data.

Responsibilities:

  • Conduct research to advance the state-of-the-art technology in NLP and deep learning, like dialogue systems
  • Work with applied research scientists and engineers to utilize that research to develop and deploy scalable neural network models into production that impacts our users
  • Collaborate with team members from other research and applied research teams working on a variety of deep learning and NLP problems.
  • Minimum Qualifications:

  • PhD/MS with relevant experience in the fields of Natural Language Processing, Machine Learning or Deep Learning.
  • Strong publication record in top NLP and ML conferences - ACL, NAACL, EMNLP, NIPS, ICML, ICLR, etc.
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