NLP Applied Researcher

OriginAI, is a new innovative AI center, the result of a collaboration between Axon Vision, Nvidia and Elbit Systems, that was established to address challenges at the forefront of AI research at national scale
The AI Center, located at Tel-Aviv, will engage in research and development in the areas of Vision, Speech and NLP with the aim of producing world-class groundbreaking capabilities in these areas
The center is well funded with direct access to the most advanced computing resources in the industry

Job Description:

We are looking for an experienced applied researchers to join and bring up our new Natural Language Processing group. The role involves the entire applied research flow, starting from literature surveys, innovation, AI development and solution deliveries for various real life challenges in the fields of NLP, Machine Learning and Deep Learning
We provide a unique opportunity to work independently within a growing top talented team, stay up to date with the latest academy papers/conferences, and work on state of the art solutions for extreme challenges
Our new unique AI center will allow you to expand your comfortable zone and work on multi-modalities problems together with Vision and Audio groups


  • Ph.D / M.Sc. in Computer Science
  • Experience in Deep Learning and Machine Learning, specifically in neural NLP (NMT, Transformers, BERT, GPT)
  • Hands on experience in Python packages for Deep Learning (Pytorch/TensorFlow), Machine Learning (Scikit-Learn), NLP (SpaCy, NLTK, Gensim)
  • Knowledge and experience in NLP approaches for translation, topic detection, emotion detection, user profiling, link/entity extraction, summarization, question answering and sentiment analysis
  • Deep understanding of ML fundamentals and modern Deep Learning approaches to NLP
  • Team player with good communication skills, both verbal and written
  • Ability in self-learning and entering new domains.


  • Team lead or Tech lead experience
  • Experience in multilingual/cross-lingual NLP approaches
  • Experience in Graph based algorithms
  • Experience in multimodal deep learning

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