Computer Vision Scientist

Job Description

Key job responsibilities

– Develop scalable machine learning and computer vision solutions to revamp the media block of our catalog
– Analyze and extract meaningful insights from large volumes of Amazon’s data to automate and enhance content
– Design, build, and evaluate generative AI models tailored to our business use cases
– Communicate clearly with business stakeholders to understand and align on requirements
– Conduct cutting-edge research and implement novel machine learning techniques to solve customer problems
– Mentor interns and junior scientists
– Publish papers at Tier-1 CV/ML conferencesBasic qualifications

– 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++
– Have 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 pruningPreferred Qualifications

– 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

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