Computer Vision Scientist, International Machine Learning, AustraliaJob ID: 2791516 | Amazon Support Services Pty Ltd
Join Our Innovative Computer Vision Team at Amazon, Australia
Are 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 located in Melbourne, 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 FlowAcknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer, and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected attributes.
Posted: October 3, 2024 (Updated about 18 hours ago)
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