Computer Vision Scientist for Scalable Retail AI

Amazon; Australia; On-site; AUD 150,000 - 210,000; Full time

Job summary

Amazon Australia’s Computer Vision team is seeking a PhD-level scientist to develop scalable AI systems for fresh produce monitoring, leveraging large-scale data and cloud resources. You will join an international ML group and work on cutting-edge CV models to transform the customer experience.

You will design, build, and evaluate generative AI solutions, publish findings at top conferences, and collaborate with business stakeholders to translate insights into impactful AI products.

Qualifications

• PhD or equivalent research experience.
• Publications in top conferences (CVPR/ICCV/ECCV/NeurIPS).
• Experience with state-of-the-art DL architectures and training/optimization.

Responsibilities

• Develop scalable ML and computer vision solutions for the fresh monitoring system.
• Analyze large volumes of Amazon data to automate and enhance content.
• Design and evaluate generative AI models for business use cases.
• Communicate with stakeholders to align on requirements.
• Conduct research and implement novel ML techniques.
• Mentor interns and junior scientists.

Skills

Java

C++

Python

Publications (CVPR/ICCV/ECCV/NeurIPS)

DL architectures

Model pruning

Unix/Linux

Education

PhD or equivalent research experience

Tools

MxNet

TensorFlow

Job description

Amazon Australia’s Computer Vision team is seeking a PhD-level scientist to develop scalable AI systems for fresh produce monitoring, leveraging large-scale data and cloud resources. You will join an international ML group and work on cutting-edge CV models to transform the customer experience.

You will design, build, and evaluate generative AI solutions, publish findings at top conferences, and collaborate with business stakeholders to translate insights into impactful AI products.