亚马逊Applied Scientist , Japan Store Tech (JST)

* Invent or adapt new scientific approaches, models or algorithms inspired and driven by customers’ needs and benefits at the project level. * Analyze data and identify the gaps in existing solutions, and propose innovative science solutions. * Contribute to research papers that are published at peer-reviewed internal and/or external venues, and contribute to the wider scientific community. * Working with teams worldwide on global projects.

As a Software Development Engineer, you will be responsible for designing, developing, testing, and deploying large-scale data mining solutions, distributed machine learning systems, and/or modern client experiences across webpages, mobile applications, and other shopping mediums. You will collaborate closely with teams of software engineers, applied machine learning scientists, product managers, user interface designers, and others in order to influence our overall strategy, and define the team’s roadmap. You will also drive the system architecture, spearhead best practices, and develop junior engineers. A successful candidate will have an established background in engineering large scale software systems, a strong technical ability, great communication skills, and a motivation to achieve results in a fast-paced environment.

• Build benchmarks, evaluation datasets, metrics, and methods to assess and improve the performance and effectiveness of language models and prompts and drive iterative enhancements. • Deliver high-impact analyses that generate actionable insights to steer product and business decisions and improve user satisfaction. • Collaborate closely with engineering, research, product, and other teams to ensure AI-driven experiences meet quality and user experience standards. • Analyze latest AI innovations and explore opportunities to apply cutting-edge techniques for building scalable, high-impact solutions that enhance product capabilities and deliver exceptional user experiences.

• You will gain an understanding of the latest research related to Microsoft products or business groups and assists in technology transfer attempts, contributing to patents, co-authoring white papers, developing or maintaining tools/services for internal Microsoft use, or consulting for product or business groups. • You will gain an understanding of a broad area of research (e.g., Machine Learning, Natural Language Processing, Computer Vision, Statistical Modeling, Data-Driven Insights) and the corresponding literature and applicable research techniques. • You will help reinforce a positive environment by learning and adopting best practices and maintain or develop ties with external network of peers and identify prospective talent for Microsoft research pipelines, when asked. • You will assist with documentation for senior team members as requested and participate in the creation of informal documentation as well as follow ethics and privacy policies when executing research processes and/or collecting data/information. • You will prepare data to be used for analysis by reviewing criteria that reflect quality and technical constraints and review data and suggests data to be included and excluded to address data quality problems. • You will embody our culture and values.