Computer Vision Scientist, International Machine Learning, Australia

Amazon Amazon · Big Tech · VIC, Australia +1 · Applied Science

Computer Vision Scientist role focused on developing and evaluating generative AI models for e-commerce media content, leveraging large datasets and cloud resources. The role involves research, implementation of novel ML techniques, and communication with stakeholders.

What you'd actually do

  1. Develop scalable machine learning and computer vision solutions to revamp the media block of our catalog
  2. Analyze and extract meaningful insights from large volumes of Amazon’s data to automate and enhance content
  3. Design, build, and evaluate generative AI models tailored to our business use cases
  4. Communicate clearly with business stakeholders to understand and align on requirements
  5. Conduct cutting-edge research and implement novel machine learning techniques to solve customer problems

Skills

Required

  • PhD or Master's degree and 4+ years of CS, CE, ML or related field experience
  • Experience programming or scripting language like Python, Java, C or C++
  • Publications on top-tier conferences, such as CVPR, ICCV, ECCV or NeurIPS
  • Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning

Nice to have

  • Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
  • 5+ years of building machine learning models or developing algorithms for business application experience
  • Experience using Unix/Linux
  • Experience with popular deep learning frameworks such as MxNet and Tensor Flow

What the JD emphasized

  • PhD
  • publications on top-tier conferences
  • state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning

Other signals

  • generative AI solutions
  • Computer Vision
  • develop generative models
  • implement novel machine learning techniques