Computer Vision Scientist
vor 3 Wochen
Computer Vision Scientist (Fixed Term), International Machine Learning, AustraliaJob ID: 2851621 | Amazon Support Services Pty LtdJoin Our Innovative Computer Vision Team at Amazon, AustraliaAre you passionate about developing generative models to transform the next generation of e-commerce platform and build AI models used by millions of customers?
We invite you to be part of our high-performing Computer Vision team at Amazon, Australia.As a member of our international Machine Learning group, you will play a key role in developing generative AI solutions that leverage vast amounts of Amazon data and powerful cloud computing resources.Our mission is to create next-generation media content that delivers an unforgettable shopping experience for our customers in emerging marketplaces.
We are seeking talented Computer Vision Scientists with a Ph.D. in a related field.
This is an opportunity for you to build innovative AI techniques that tackle real-world business challenges.
Join a team dedicated to advancing AI technology at Amazon and transforming it into impactful business solutions.Key job responsibilities:Develop scalable machine learning and computer vision solutions to revamp the media block of our catalogAnalyze and extract meaningful insights from large volumes of Amazon's data to automate and enhance contentDesign, build, and evaluate generative AI models tailored to our business use casesCommunicate clearly with business stakeholders to understand and align on requirementsConduct cutting-edge research and implement novel machine learning techniques to solve customer problemsMentor interns and junior scientistsPublish papers at Tier-1 CV/ML conferencesBASIC QUALIFICATIONSPhD, or Master's degree and 4+ years of CS, CE, ML or related field experienceExperience programming in Java, C++, Python or related languageHave publications on top-tier conferences, such as CVPR, ICCV, ECCV or NeurIPSExperience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruningPREFERRED QUALIFICATIONSExperience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms5+ years of building machine learning models or developing algorithms for business application experienceExperience using Unix/LinuxExperience with popular deep learning frameworks such as MxNet and Tensor Flow#J-18808-Ljbffr
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