(Senior) Computer Vision ML Engineer - Medical imaging

Added: 11/5/2021

REF: 14561

Contract: Permanent

Location: redwood city, California, United States

Team: Computer Vision

Title: Computer Vision Machine Learning Research Engineer

Location: Company is based in San Fran, CA

*Open to remote however you will be asked to work on site in the future*

Relocation: Company will provide you with a relocation bonus

Responsiblities:

  • Investigate and utilize complex engineering and mathematical principles to develop core technologies.
  • Contribute to research projects that develop a variety of algorithms and systems in bioinformatics, computer vision, image and video analysis.
  • Assess and improve algorithm performance on a variety of platforms.
  • Analyze and determine system standards and test procedures.
  • Evaluate identifiable factors and demonstrate good judgment in selecting methods and techniques for obtaining solutions.
  • Advance the state-of-the-art in the field, including generating patents.
  • Prototype and implement image and video analysis product components.
  • Work with researchers in global locations to understand algorithm requirements and deliver high-quality solutions.
  • Lead a team of researchers

Required Experience:

  • Ph.D. Degree in Biomedical/Electrical/Computer Engineering, Computer Science, or Life Science areas
  • Strong knowledge of fundamentals in feature extraction, computer vision and image/video analysis, including Deep Learning
  • Working knowledge in life science imaging, system biology, or single cell analysis.
  • Must be self-motivated and creative, with proven analytical skills, excellent research record, and ability to communicate effectively
  • Flexibility and adaptability to work and collaborate with researchers in global locations
  • Must be able to travel domestically and internationally if required

Preferred experience:

  • Strong theoretical and practical background in Computer Vision, Image and Video analysis, specifically Object Detection, Tracking, Segmentation, Optical Flow, Optimization, Biological Imaging are strong plus
  • Proven ability to develop new research ideas as demonstrated by a strong publication record and early developments to the level of a working system prototype is a strong plus
  • Excellent programming skills in Python/Matlab or C/C++ is a strong plus
  • Solid knowledge on Deep Learning frameworks such as Torch/PyTorch or TensorFlow

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