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Sr. Software Engineer, Information Retrieval, Machine Learning and Search


 
  
exceptional software engineers to develop algorithms and build systems to automatically solve a variety of Information Retrieval and Data Mining problems related to the Amazon Product Catalog


Amazon Company: Amazon
Location: Seattle, WA
Web: www.amazon.com

_Contact_:
Email to nkrishna@amazon.com , refer to Job number: 130247

Amazon's Fact Extraction team is looking for exceptional software engineers to develop algorithms and build systems to automatically solve a variety of Information Retrieval and Data Mining problems related to the Amazon Product Catalog - one of the company's biggest assets. Our charter is to enrich the structured information present in the catalog and greatly improve the product search and detail product page viewing experience for the Amazon customers.

Structured information extraction is in general a very hard problem. We make this more tractable by using the large amount of information present in Amazon and solving targeted problems. Incorrect or missing information for sometimes key attributes such as brand name or size can lead to a lot of issues in merchandising a product. In a lot of these cases, this information is present in other unstructured attributes like title and product description. The Fact Extraction team extracts this data using a mix of information retrieval, data mining and text analysis techniques resulting in a much richer product catalog and end user experience.

As part of this team you will encounter:

Algorithms and Systems: We use information retrieval and knowledge representation techniques to solve complex extraction problems. We also own the normalization service for the Amazon product catalog.

Data analysis: We constantly dig into the data available at Amazon to analyze, inform and develop solutions to the right problems. If looking at data, slicing and dicing it in multiple ways and coming up with interesting insights is something you thrive upon, you will fit right in.

Scalability: We process 10s of millions of product submissions daily. Making sure the systems we built are able to handle these large amounts of data while meeting the time budget constraints is a given for any work we take on! Along with building a system to achieve this, also comes the responsibility of making it maintainable.

As a senior developer in 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 quality of Amazon's product catalog
  • Work with the business teams within Amazon to understand data quality issues and generate the features which need to be extracted
Basic Qualifications:
  • PhD./MS/Bachelors in Computer Science
  • 5+ years of experience in software development and full product life-cycles.
  • Proven track record of architecting and building scalable systems
  • Strong coding skills coupled with strong base in object-oriented design and development
Preferred Qualifications:
  • Advanced degree/PHD/Doctorate/Masters in Computer Science/related field
  • 6+ years of experience in Software development and SDLC
  • Experience in Information Retrieval (IR), knowledge representation or computational linguistics or natural language processing (NLP), Machine Learning (ML), Text mining is a plus.
  • 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.
  • Fluency in written Chinese/Japanese/German is a plus.
_Contact_:
Email to nkrishna@amazon.com , refer to Job number: 130247

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