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Computer Vision Algorithm Developer

· Full-time · Senior

About The Position

Imagene is hiring an experienced data scientist researcher. As part of the initial data science team recruitments, he/she will have the opportunity to influence the research vision, goals, and culture significantly. Imagene is working with some of the largest players in the health space, so he would have the opportunity to impact many people's lives.

This person must bring an established track record of successfully solving complex problems in the computer vision field and a strong passion for Imagene’s mission. 

Responsibilities

  •  Engage and implement cutting-edge AI technology in the field of unsupervised and semi-supervised learning.
  • Apply reinforcement learning for architecture and hyper-parameters search.
  • Develop robust Generative Adversarial Networks.
  • Keep track and implement the latest state-of-the-art deep learning research.

Requirements

  • 4+ Years of experience programming in Python.
  • 4+ Years of experience in machine learning algorithms.
  • 4+ Years of experience in computer vision algorithm development.
  • 4+ Years of experience with the following frameworks: PyTorch, TensorFlow.
  • 2+ Years of experience with unsupervised and semi-supervised deep learning models.
  • proficient in detection, segmentation, and classification algorithms.

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About Imagene

Our mission is to assist cancer patients in receiving the optimal treatment medicine can offer. we leverage AI to detect, in real-time, a broad range of cancerous biomarkers and genomic insights from the biopsy image alone. By doing so, we overcome economical, logistical, and technological barriers to reach the full potential of precision medicine for cancer patients.

Through global collaborations with top-tier medical centers and pharmaceutical companies, Imagene AI is revolutionizing molecular screening for both clinical practice and research.

Our success derives from our cutting-edge technology and talented multidisciplinary team of biologists, doctors, data scientists, software engineers, business experts and more.