Computer Vision Scientist , International Machine Learning, Australia
Amazon
Computer Vision Scientist , International Machine Learning, Australia
Job Description
** 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. #austechjobsKey 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
Locations
- Australia, VIC, Melbourne, Melbourne, VIC, Australia
Salary
Estimated Salary Rangemedium confidence
180,000 - 300,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experienceintermediate
- - Experience programming or scripting language like Python, Java, C or C++intermediate
- - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruningintermediate
Required Qualifications
- - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience (experience, 4 years)
- - Experience programming or scripting language like Python, Java, C or C++ (experience)
- - Have publications on top-tier conferences, such as CVPR, ICCV, ECCV or NeurIPS (experience)
- - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning (experience)
Preferred Qualifications
- - Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms (experience)
- - 5+ years of building machine learning models or developing algorithms for business application experience (experience, 5 years)
- - Experience using Unix/Linux (experience)
- - Experience with popular deep learning frameworks such as MxNet and Tensor Flow (experience)
- Acknowledgement of country: (experience)
- 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. (experience)
- IDE statement: (experience)
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
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Computer Vision Scientist , International Machine Learning, Australia
Amazon
Computer Vision Scientist , International Machine Learning, Australia
Job Description
** 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. #austechjobsKey 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
Locations
- Australia, VIC, Melbourne, Melbourne, VIC, Australia
Salary
Estimated Salary Rangemedium confidence
180,000 - 300,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experienceintermediate
- - Experience programming or scripting language like Python, Java, C or C++intermediate
- - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruningintermediate
Required Qualifications
- - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience (experience, 4 years)
- - Experience programming or scripting language like Python, Java, C or C++ (experience)
- - Have publications on top-tier conferences, such as CVPR, ICCV, ECCV or NeurIPS (experience)
- - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning (experience)
Preferred Qualifications
- - Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms (experience)
- - 5+ years of building machine learning models or developing algorithms for business application experience (experience, 5 years)
- - Experience using Unix/Linux (experience)
- - Experience with popular deep learning frameworks such as MxNet and Tensor Flow (experience)
- Acknowledgement of country: (experience)
- 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. (experience)
- IDE statement: (experience)
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
Tags & Categories
Answer 10 quick questions to check your fit for Computer Vision Scientist , International Machine Learning, Australia @ Amazon.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs