Senior Computer Vision R&D Scientist

Full-time Los Angeles, CA 90064 UtopiaCompression Corporation

UC is seeking a Senior Computer Vision Scientist to support its vision technology programs. In this role, you will be required to lead UC’s computer vision algorithm and software development efforts. You will be responsible for designing and developing computer vision and machine learning algorithms applied to multiple products. This will involve mathematical modeling and analysis, algorithm development, software prototyping and product development.

Basic Requirements

  • Ph.D. in Computer Science/Electrical Engineering/Applied Mathematics, or M.S. w/5+ years experience
  • Strong background in Computer Vision, Machine Learning, and Image/Video Processing (detection, tracking, classification, online learning, active learning, deep learning, event analysis, etc.)
  • ontributions to peer-reviewed vision conferences/journals
  • Strong programming skills in C++, Python, MATLAB

Desired Expertise/Experience

  • Post-doctoral experience is a strong plus
  • Prior experience in executing R&D projects
  • Experience in writing proposal and winning grants
  • Hands-on experience with EO and/or IR sensors and optical systems
    Experience programming and developing on GPUs or other embedded systems

UtopiaCompression Corporation (UC), based in Los Angeles, CA is a High-Tech Company with considerable expertise in intelligent software solutions. UC develops cutting edge technologies in the following fields:

  • Computer vision for (air-, land-, sea-, and underwater) situational awareness and scene analysis
  • Machine learning, deep neural networks, and data/text mining
  • Estimation, control, and planning for autonomous aircraft systems, robotics
  • Wireless communications and ad-hoc networking
  • Human computer interaction for autonomous systems
  • Biomedical signal processing, intelligent tutoring systems, affective computing

UC offers a challenging and exciting environment to work on high-risk high-reward technologies with the potential to bring in transformational changes to state-of-the-art.

Los Angeles, CA 90064

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