DESCRIPTION

Are you passionate about leading the design and development of computer vision solutions that can revolutionize the visual content in our catalog? Join our high-performing Computer Vision team where our mission is to create next-generation media content for our catalog, delivering an unparalleled shopping experience for our customers.
As a Senior Applied Scientist in our international Machine Learning team, you will spearhead the design and development of advanced generative models (image, video, and 3D) in computer vision that will enhance shopping experience of our customers. You will partner directly with senior stakeholders to better understand business problems, dissect, design and sometimes build prototypes. You will lead and encourage productive scientific discussions to identify the most effective scientific methodologies.
Join our team of high-performing researchers dedicated to advancing computer vision technology at Amazon and elevate our catalog to simplify our customers’ purchasing decisions.

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Key job responsibilities

• Lead the scientific development of scalable computer vision solutions to revolutionise our catalog’s media content.
• Spearhead data analysis initiatives, extracting actionable insights from Amazon’s vast datasets to drive content automation and enhancement.
• Architect, implement, and optimise sota generative AI models tailored to our specific business needs.
• Lead the discussions with cross-functional teams and business stakeholders to align technical solutions with strategic objectives.
• Pioneer research initiatives that address complex customer challenges and push the boundaries of AI in e-commerce.
• Mentor and guide junior scientists and interns, fostering a culture of innovation and continuous learning.
• Contribute to the scientific community by conducting and publishing research at top-tier CV/ML conferences.
• Drive technical decision-making and set the direction for building future AI models.

BASIC QUALIFICATIONS

• PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
• 4+ years of building machine learning models for business application experience
• Experience programming in Java, C++, Python or related language
• Have at least 5 publications on top-tier conferences, such as CVPR, ICCV, ECCV or NeurIPS.

PREFERRED QUALIFICATIONS

• Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
• Experience in mentoring PhD students or managing a team of scientists.
  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

• Lead the scientific development of scalable computer vision solutions to revolutionise our catalog’s media content.
• Spearhead data analysis initiatives, extracting actionable insights from Amazon’s vast datasets to drive content automation and enhancement.
• Architect, implement, and optimise sota generative AI models tailored to our specific business needs.
• Lead the discussions with cross-functional teams and business stakeholders to align technical solutions with strategic objectives.
• Pioneer research initiatives that address complex customer challenges and push the boundaries of AI in e-commerce.
• Mentor and guide junior scientists and interns, fostering a culture of innovation and continuous learning.
• Contribute to the scientific community by conducting and publishing research at top-tier CV/ML conferences.
• Drive technical decision-making and set the direction for building future AI models