Applied Scientist - Computer Vision, International Machine Learning, Australia (Melbourne)

Applied Scientist - Computer Vision, International Machine Learning, Australia (Melbourne)

03 Sep
|
Amazon
|
Melbourne

03 Sep

Amazon

Melbourne

Applied Scientist - Computer Vision, International Machine Learning, AustraliaJob ID: ******** | Amazon Support Services Pty Ltd** Join Our Innovative Computer Vision Team at Amazon, Australia **Are you passionate about developing computer vision models to transform the shopping experience for fresh produce and build AI models for fresh monitoring at scale?
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 building AI solutions that leverage vast amounts of Amazon data and cloud computing resources.Our mission is to build next-generation AI systems that monitor fresh produce 24/7 and ensure we deliver the best quality produce to our customers.
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.
#austechjobsKey job responsibilitiesDevelop scalable machine learning and computer vision solutions for the fresh monitoring systemAnalyze 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 s.o.t.a. research and implement novel machine learning techniques to solve customer problemsMentor interns and junior scientistsBasic QualificationsPhD or equivalent research 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 countryIn 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 statementAmazon 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 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.Amazon is an equal prospect employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
#J-*****-Ljbffr

📌 Applied Scientist - Computer Vision, International Machine Learning, Australia (Melbourne)
🏢 Amazon
📍 Melbourne

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