Chief Computer Vision Engineer

Location United States of America
Contact name: Arez aram

Contact email: arez@deepabacus.com
Job ref: 161
Published: 16 days ago

Company:

 

  • Deep tech company applying cutting-edge AI research for some of the biggest pinpoints in healthcare
  • Developing proprietary digital health technology that will allow billions to self-diagnose disease states using camera phone images
  • Startup founded by distinguished leaders in medicine and technology

 

What you’ll do:

 

  • Develop Computer Vision algorithms for image segmentation, object detection, recognition, and tracking (particularly images of human faces and eyes)
  • Lead a team of Computer Vision engineers to produce cutting edge products 
  • Continued contribution to enhancement and improvement of the core product
  • Enhance the quality of imagery captured from low-end cameras
  • Ongoing extraction of insights from imagery data
  • Develop advanced models for implementation to improve the accuracy of the platform

 

What you’ll need to succeed:

 

  • 5+ years experience in the Computer Vision Healthcare domain related to eye imaging
  • Master’s degree or Ph.D. in Computer Science/Electrical Engineering/Robotics or related fields
  • Experience with a wide variety of Deep Learning Models (LSTM, RNN, CNN, GAN, etc)
  • Familiar with Computer Vision techniques (object detection, object tracking, classification, image segmentation, etc)
  • Experience in Machine learning and Computer Vision frameworks and libraries such as TensorFlow, PyTorch, OpenCV, etc
  • Skilled software developer with experience in C/C++, Python, and/or CUDA
  • Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
  • At least 3 years of experience in ML and CV
  • Strong problem-solving skills and attention to detail
  • Strong communication and collaboration skills
  • Self-starter and comfortable in a very fast-paced startup environment
  • Experience processing medical images (nice to have)
  • Working knowledge of Docker, Kubernetes, AWS, GCP, or Azure (nice to have)
  • Knowledge of web development frameworks (nice to have)

Company:

 

  • Deep tech company applying cutting-edge AI research for some of the biggest pinpoints in healthcare
  • Developing proprietary digital health technology that will allow billions to self-diagnose disease states using camera phone images
  • Startup founded by distinguished leaders in medicine and technology

 

What you’ll do:

 

  • Develop Computer Vision algorithms for image segmentation, object detection, recognition, and tracking (particularly images of human faces and eyes)
  • Lead a team of Computer Vision engineers to produce cutting edge products 
  • Continued contribution to enhancement and improvement of the core product
  • Enhance the quality of imagery captured from low-end cameras
  • Ongoing extraction of insights from imagery data
  • Develop advanced models for implementation to improve the accuracy of the platform

 

What you’ll need to succeed:

 

  • 5+ years experience in the Computer Vision Healthcare domain related to eye imaging
  • Master’s degree or Ph.D. in Computer Science/Electrical Engineering/Robotics or related fields
  • Experience with a wide variety of Deep Learning Models (LSTM, RNN, CNN, GAN, etc)
  • Familiar with Computer Vision techniques (object detection, object tracking, classification, image segmentation, etc)
  • Experience in Machine learning and Computer Vision frameworks and libraries such as TensorFlow, PyTorch, OpenCV, etc
  • Skilled software developer with experience in C/C++, Python, and/or CUDA
  • Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
  • At least 3 years of experience in ML and CV
  • Strong problem-solving skills and attention to detail
  • Strong communication and collaboration skills
  • Self-starter and comfortable in a very fast-paced startup environment
  • Experience processing medical images (nice to have)
  • Working knowledge of Docker, Kubernetes, AWS, GCP, or Azure (nice to have)
  • Knowledge of web development frameworks (nice to have)