Senior Applied AI Scientist

DataGen Technologies

Tel Aviv, IL
  • Job Type: Full-Time
  • Function: Engineering Software
  • Post Date: 04/07/2021
  • Website:
  • Company Address: , Tel Aviv

About DataGen Technologies

Developer of simulated data solutions designed to be scalable, bias-free, and automatically annotated. The company's solutions are highly responsive and the technology is designed using hyper-photorealistic imagery and algorithms to generate high variance datasets, enabling clients to solve any kind of data need.

Job Description

Datagen is seeking a Senior Applied AI Scientist to solve the most challenging algorithmic challenges that the company is facing. The company solves the largest and most challenging problem in modern computer vision -- acquiring labelled data at scale -- by developing proprietary state-of-the-art technologies for photorealistic simulations of the real world. For this role, we are seeking an experienced scientist capable of leveraging state-of-the-art AI techniques (GANs, contrastive learning, loss landscape visualizations, etc...) to tackle  our most challenging AI projects.


In this role, you will:

  • Design and implement neural networks interpretations techniques 
  • Implement GAN/VAE-based 3D content creation
  • Build deep learning architectures from scratch to make our data more effective
  • Drive key algorithm projects across the whole company 
  • Contribute your knowledge and experience to the overall algorithmic strategy and roadmap
  • Take an impact-driven approach to leverage technology to solve business problems


For this role, you must have:

  • 10+ years of academic/industry experience in Computer Vision algorithms
    • At least MSc in Computer Science, Electrical Engineering or Math, with PhD preferred
  • Experience with both learning-based (deep learning, etc.) and geometric-based (SLAM, Multiple-View Geometry, etc.) approaches to Computer Vision
  • Full proficiency with Pytorch (preferred) or Tensorflow and Python
  • Ability to independently run open-source research code (use Docker, solve conflicts in libraries, etc.)
  • Strong mathematical skills
  • A track-record of algorithmic contributions that have translated into real-world impact


Extra preference will be given to candidates with:

  • Experience in 3D graphics 
  • Knowledge of Computational 3D geometry 
  • The ability to dig deep into neural nets to understand where they fail and why
  • Strong software engineering skills (clean code, etc.)

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.