Deep Learning Scientist

Tel Aviv, TLV Office

About The Position


As a deep learning scientist in the Deep Learning team, your responsibilities will include:

  • Keep up to date with the latest developments in neural networks research and their potential applications to cyber-security
  • Understand the unique challenges presented by the cyber-security domain
  • Work with cyber-security specialists, data engineers, and security researchers, to understand the specificities of the data and fit solutions to it
  • Develop machine learning models for solving various problems related to cyber-security
  • Prepare and deliver oral presentations, as well as write articles in scientific journals



Minimum Qualifications

  • Experience in deep learning (natural language processing, computer vision...)
  • Experience in working with Python and data science-related libraries (NumPy, Pandas...) as well as deep learning frameworks such as PyTorch, TensorFlow or other related frameworks
  • Track record of publication in machine learning conferences
  • Ph.D. or master's degree with four years of industry experience in computer science, mathematics, statistics or related field


Preferred Qualifications

  • Experience in working with unstructured data, binary data and large-scale datasets
  • Experience with adversarial machine learning methods
  • Experience in working with AWS and distributed GPU training
  • Industry experience in conducting end to end research projects from data analysis and hypothesis formulation to model evaluation and serving for production environments
  • First-author publications at peer-reviewed AI conferences (e.g. NeurIPS, ICML, ICLR, AISTATS, UAI)