Amazon51 followers388 jobs

Computer Vision Scientist, International Machine Learning, Australia

Mid levelSeniorFull-timeOfficeMelbourne VIC, AustraliaDataSoftware engineeringPosted 1 month agoVerified 1 month ago
Pending fitX of Y criteria met

About the job

Join the innovative Computer Vision team at Amazon in Melbourne, Australia, where you will have the opportunity to develop generative AI models that transform the e-commerce platform for millions of customers. This job is all about creating next-generation media content that enhances the shopping experience in emerging marketplaces. The team thrives on collaboration and is dedicated to advancing AI technology into impactful business solutions.

You'll be responsible for

🤖

Developing AI solutions

Developing generative AI solutions that leverage vast amounts of Amazon data and powerful cloud computing resources.
🔍

Analyzing data

Analyzing and extracting meaningful insights from large volumes of Amazon’s data to automate and enhance content.
🗣️

Communicating with stakeholders

Communicating clearly with business stakeholders to understand and align on requirements.

Key criteria

🧠

Ph.D. in a related field

Possession of a Ph.D. in Computer Science, Computer Engineering, or Machine Learning.

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💻

5+ years in machine learning

Experience building machine learning models for business applications.

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📊

Publications in top-tier conferences

Demonstrated publications at conferences like CVPR, ICCV, or NeurIPS.

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Meet the team

Think you're a good fit?See what the hiring team are looking for

About the company

View your fit

5 criteria for this job
Ph.D. in a related field
Possession of a Ph.D. in Computer Science, Computer Engineering, or Machine Learning.

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5+ years in machine learning
Experience building machine learning models for business applications.

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Publications in top-tier conferences
Demonstrated publications at conferences like CVPR, ICCV, or NeurIPS.

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Proficiency in programming languages
Experience with Python, Java, C, or C++ for algorithm development.

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Deep learning framework experience
Familiarity with frameworks like MxNet and TensorFlow for model training.

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