Applied Scientist, Japan Store Tech
DESCRIPTION
Are you captivated by the potential of generative AI to revolutionize user experiences? We offer a rare opportunity to blend your enthusiasm for cutting-edge innovations with the goal of enhancing Amazon's customer experience. This role involves leveraging Generative AI to create visually engaging and personalized content, transforming how millions of Amazon's customers discover and interact with products.
Key job responsibilities
In this dynamic position, you will be at the forefront of developing, launching, and optimizing AI-powered visual content across Amazon's digital interfaces. Working closely with a multidisciplinary team of applied scientists, software engineers, designers, and product managers, you will help shape our strategy and drive the implementation of cutting-edge solutions that enhance customer engagement through visually captivating personalized experiences. Your work will not only involve the application of Generative AI for visual content creation but also the utilization of Large Language Models to understand and predict customer preferences, delivering a truly personalized shopping journey.
A successful candidate will have a robust background in conducting machine learning research and developing data analysis methodologies, strong technical proficiency, excellent communication skills, and a drive to achieve results in a dynamic research and development environment.
- Designing and implementing new features and machine learned models, including the application of state-of-art deep learning to solve computer vision, image generation and personalization problems.
- Analyzing data and metrics relevant to shopping experiences.
- Working with teams worldwide on global projects.`
About the team
Amazon’s Merchandising Automation team is a high-performing group that leverages Amazon’s expertise in machine learning, big data, and distributed systems to deliver the best shopping experiences for our customers. We work full stack, from foundational backend systems to future-forward user interfaces. Our team’s culture is centered on rapid prototyping, rigorous experimentation, and data-driven decision-making. We care deeply about our customers, as well as the well-being and growth of our team members. We are looking for creative and innovative engineers with a similar penchant for deeply-technical problem solving and the ability to lead and deliver while upholding Amazon’s leadership principles.
We are open to hiring candidates to work out of one of the following locations:
Beijing, 11, CHN
BASIC QUALIFICATIONS
- 4+ years of building models for business application experience
- PhD, or a Master's degree and experience in CS, CE, ML or related field research
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
PREFERRED QUALIFICATIONS
- Experience programming in Java, C++, Python or related language
- Experience of AWS solutions such as SageMaker, S3, EC2, and Lambda
- A hobby or talent in visual arts
- Fluency in Japanese