Senior Applied Scientist, Amazon Beauty Tech Innovator

2 months ago


Vancouver, British Columbia, Canada Amazon Development Centre Canada ULC Full time
About the Role

We are seeking a talented Senior Applied Scientist to join our Amazon Beauty Tech team in Canada. As a key member of our team, you will be responsible for leading the development of innovative scientific solutions that address customer problems in the beauty and shopping space.

Our team is passionate about leveraging the latest advances in Computer Vision, Virtual Try-On, Graphics, Generative AI, Diffusion Models, Image Processing, and related technologies to revolutionize the customer shopping experience. We are looking for a scientist who is passionate about building machine learning models and developing algorithms for business applications.

Key Responsibilities
  • Lead the ideation, design, prototyping, development, and launch of innovative scientific solutions that address customer problems in the beauty and shopping space.
  • Closely partner with product managers, UX designers, engineers, and the broader Amazon scientific community to pioneer state-of-the-art solutions to extremely challenging problems in machine learning and computer vision.
  • Help hire, mentor, and develop the best and brightest science and engineering talent while our organization rapidly continues to expand.
  • Represent our organization in key internal and external AI, ML, CV, or RecSys conferences.
About the Team

Amazon Beauty Tech is a key and essential part of the Consumables organization and North America Stores. We are a passionate group of engineers, scientists, product managers, and designers who drive technological innovation to improve the customer shopping experience.

We have a startup-like work culture where innovation is encouraged; we are never afraid to propose big ideas for fear of failing.

Requirements
  • PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or equivalent quantitative field.
  • 4+ years of building machine learning models or developing algorithms for business application experience.


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