Computer Vision Research Scientist

Computer Vision Research Scientist

Tap Mobile is one of the world’s fastest-growing mobile apps companies. We transform great ideas into elegant software. Our apps have been downloaded over 350 Million times.
We’re looking for a Computer Vision Research Scientist to join our amazing growing team where each team member makes an impact.


Responsibilities:

  • Conduct research and development in computer vision and image processing
  • Design, implement, and integrate computer vision and machine learning algorithms and prototypes and assist in the transition into products and services
  • Interact with and support multiple research teams ranging from research scientists to engineers to manufacturing and retail
  • Work between multiple business units and sub business units including managing meeting flows, presenting data, building, and maintaining relationships.
  • integrate the latest high impact ML and AI technologies into our process.


Must have:

  • Practical experience in research of AI models, e.g. transformers, diffusion models, VAE/GAN.
  • Real passion and experience in AI generative area
  • Ph.D. in a related area, e.g. Computer Vision, Computer Graphics, VR/AR/MR.
  • Relevant experience to the position such as post-doctoral roles, a proven track record of publications from conferences e.g. Siggraph, ICCV, CVPR, ECCV, AAAI, NIPS.
  • Experience with machine learning or deep learning models, such as CNNs, RNNs and GANs.
  • Familiarity with computer vision libraries and machine learning framework, such as OpenCV, PyTorch, and TensorFlow.
  • Masters or PhD degree in computer science, electrical engineering, computer engineering, mathematics or other related field
  • Minimum 4 years of hands-on experience in research, engineering, or research & development
  • Proficiency in Python and C++
  • Minimum 4 years of experience with computer vision techniques such as object recognition, segmentation, classification, and tracking.
Job Category: Development R&D
Job Type: Full Time Part Time
Job Location: Beer Sheva Hybrid Tel-Aviv

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