亚马逊Applied Scientist , Japan Store Tech (JST)
任职要求
基本任职资格 - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing 优先任职资格 - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed s…
工作职责
* 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.
* 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.
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.
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.