This is a Computer Vision Scientist, International Machine Learning, Australia role with Amazon based in Melbourne, VIC, AU Amazon Role Seniority - senior More about the Computer Vision Scientist, International Machine Learning, Australia role at Amazon 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 advanced 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. austechjobs 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 market, research and implement novel machine learning techniques to solve customer problems - Mentor interns and junior scientists - Publish papers at Tier-1 CV/ML conferences - 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 pruning - 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 Acknowledgement 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 an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Before we jump into the responsibilities of the role. No matter what you come in knowing, you’ll be learning new things all the time and the Amazon team will be there to support your growth. Please consider applying even if you don't meet 100% of what’s outlined Key Responsibilities Developing solutions Analyzing data Mentoring Key Strengths Machine learning ✨ Generative AI Programming Deep learning frameworks Unix/Linux Research publications A Final Note: This is a role with Amazon not with Hatch.