如何搜索到陶瓷学的各种英文期刊名称# ChemEng - 化学工程
n*a
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Hello,
Amazon.com is looking for experienced engineers with Machine learning/Data
mining/Hadoop background. Please send your resumes to n******[email protected]
Many positions open, location- Seattle, WA
Job description: SDE
The product catalog is a key business asset and differentiator for Amazon.
The Catalog Quality organization is chartered with the goal of improving the
quality of this data by building systems and employing automated techniques
to identify and fix discrepancies and enrich the data with more information.
The Fact Extraction (FX) team specializes in processing semi-structured
merchant contributions to extract meaningful structured information. Our
goal is to enhance customer experience by improving accuracy and consistency
of key product attributes (like brand), improving browse and search
experience, and providing clean and consistent information for product
variations. We have developed our own extraction framework that allows us to
combine information retrieval and knowledge representation techniques to
conquer complex extraction problems while processing tens of millions of
merchant contributions daily.
Our vision is to continually improve the accuracy and breadth of our
extraction framework by using techniques such as machine based knowledge
discovery, NLP based extraction techniques, and augment information by
scraping sources like the internet, to name a few.
As a senior developer on this team, you will have the opportunity to:
Design and implement of complex systems, which process a large amount of
data
Technically lead small to mid size teams
Participate in the roadmap definition for the team
Identify areas of improvement in our frameworks, tools, processes and strive
to make them better. Evaluate our success metrics and evolve our reporting
systems.
Dive deep into the catalog data, understand different functional areas, and
use your creativity to come up with extraction techniques that improve the
catalog quality issues on hand.
Work with the category owners within Amazon to understand data quality
issues, functional specifics of data and contributions.
Qualifications:
PhD./MS/Bachelors in Computer Science
8-10+ years of experience in software development and full product life-
cycles
Strong coding skills in Java coupled with strong base in object-oriented
design and development.
Proven track record of architecting and building scalable systems
Ability to technically lead small to mid size teams, mentor junior members
Results oriented person with a delivery focus.
Excellent verbal and written communication skills
Ability to handle multiple competing priorities in a fast-paced environment.
Experience in information retrieval, knowledge representation or
computational linguistics is a plus.
Fluency in written Chinese/Japanese/German is a plus.
Amazon.com is looking for experienced engineers with Machine learning/Data
mining/Hadoop background. Please send your resumes to n******[email protected]
Many positions open, location- Seattle, WA
Job description: SDE
The product catalog is a key business asset and differentiator for Amazon.
The Catalog Quality organization is chartered with the goal of improving the
quality of this data by building systems and employing automated techniques
to identify and fix discrepancies and enrich the data with more information.
The Fact Extraction (FX) team specializes in processing semi-structured
merchant contributions to extract meaningful structured information. Our
goal is to enhance customer experience by improving accuracy and consistency
of key product attributes (like brand), improving browse and search
experience, and providing clean and consistent information for product
variations. We have developed our own extraction framework that allows us to
combine information retrieval and knowledge representation techniques to
conquer complex extraction problems while processing tens of millions of
merchant contributions daily.
Our vision is to continually improve the accuracy and breadth of our
extraction framework by using techniques such as machine based knowledge
discovery, NLP based extraction techniques, and augment information by
scraping sources like the internet, to name a few.
As a senior developer on this team, you will have the opportunity to:
Design and implement of complex systems, which process a large amount of
data
Technically lead small to mid size teams
Participate in the roadmap definition for the team
Identify areas of improvement in our frameworks, tools, processes and strive
to make them better. Evaluate our success metrics and evolve our reporting
systems.
Dive deep into the catalog data, understand different functional areas, and
use your creativity to come up with extraction techniques that improve the
catalog quality issues on hand.
Work with the category owners within Amazon to understand data quality
issues, functional specifics of data and contributions.
Qualifications:
PhD./MS/Bachelors in Computer Science
8-10+ years of experience in software development and full product life-
cycles
Strong coding skills in Java coupled with strong base in object-oriented
design and development.
Proven track record of architecting and building scalable systems
Ability to technically lead small to mid size teams, mentor junior members
Results oriented person with a delivery focus.
Excellent verbal and written communication skills
Ability to handle multiple competing priorities in a fast-paced environment.
Experience in information retrieval, knowledge representation or
computational linguistics is a plus.
Fluency in written Chinese/Japanese/German is a plus.