Software Development Engineer - ML, NLP, Big Data, Knowledge Graphs
New York, New York, USA
Amazon.com
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With hundreds of millions of customers and billions of products with thousands attributes, Amazon has real big data. We need smart and creative engineers to help design and develop the next version of our knowledge system. Using automation and machine learning you can help realize the future of the Amazon retail searching, exploring, and browsing experiences.
As a member of the product knowledge team, based in NYC, you will play a key role in the establishment of a new platform, with opportunities to create enormous benefit for our customers and Amazon. You will take academic research from theory to production implementation by overcoming performance, scalability, and resiliency challenges. You should enjoy optimization through rapid experimentation, have extremely high standards, and strong ability to implement in the face of ambiguity. Expertise in specialized areas such as Machine Learning, Natural Language Processing, Text Mining, Graph Processing, Search, Recommendation Systems, or Signal Processing, is desired.
You will be part of a team building a new application which will include: developing process workflow, data storage, performant graph traversal, and intuitive interfaces.
· Build a robust and scalable platform that will enable a large volume of data to be processed and efficiently accessed.
· Work with some truly cutting edge ideas and technology: Applying the latest in data science research to solving very large scale problems.
· Influence decisions in choosing the right technology to build components.
· Join a great group of motivated, top-notch, people and work with them to solve interesting and useful problems in a fun, collaborative environment
· Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
· 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
· 2+ years of non-internship professional software development experience
A Bachelor’s degree in Computer Science or equivalent combination of technical education and work experience;
· 5+ years of Software Development experience;
· Proven track record of building large-scale, highly available, low latency, high quality distributed systems and software products
· Deep hands-on technical expertise building data pipelines, Experience with AWS EMR, Athena, Sagemaker
· Experience on big data processing like Apache Spark
· Experience on graph database like AWS Neptune with SPARQL
· Strong business and technical vision
· Excellent verbal and written communication skills
· A deep understanding of software development in a team, and a track record of shipping software on time
· Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead engineering efforts to meet aggressive timelines with optimal solutions.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
As a member of the product knowledge team, based in NYC, you will play a key role in the establishment of a new platform, with opportunities to create enormous benefit for our customers and Amazon. You will take academic research from theory to production implementation by overcoming performance, scalability, and resiliency challenges. You should enjoy optimization through rapid experimentation, have extremely high standards, and strong ability to implement in the face of ambiguity. Expertise in specialized areas such as Machine Learning, Natural Language Processing, Text Mining, Graph Processing, Search, Recommendation Systems, or Signal Processing, is desired.
You will be part of a team building a new application which will include: developing process workflow, data storage, performant graph traversal, and intuitive interfaces.
· Build a robust and scalable platform that will enable a large volume of data to be processed and efficiently accessed.
· Work with some truly cutting edge ideas and technology: Applying the latest in data science research to solving very large scale problems.
· Influence decisions in choosing the right technology to build components.
· Join a great group of motivated, top-notch, people and work with them to solve interesting and useful problems in a fun, collaborative environment
Basic Qualifications
· Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
· 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
· 2+ years of non-internship professional software development experience
A Bachelor’s degree in Computer Science or equivalent combination of technical education and work experience;
· 5+ years of Software Development experience;
· Proven track record of building large-scale, highly available, low latency, high quality distributed systems and software products
Preferred Qualifications
· Master’s degree in Computer Science, Computer Engineering or related technical discipline.· Deep hands-on technical expertise building data pipelines, Experience with AWS EMR, Athena, Sagemaker
· Experience on big data processing like Apache Spark
· Experience on graph database like AWS Neptune with SPARQL
· Strong business and technical vision
· Excellent verbal and written communication skills
· A deep understanding of software development in a team, and a track record of shipping software on time
· Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead engineering efforts to meet aggressive timelines with optimal solutions.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Tags: Athena AWS Big Data Computer Science Data pipelines Distributed Systems Engineering Machine Learning NLP Pipelines Research SageMaker Spark
Perks/benefits: Career development
Region:
North America
Country:
United States
Job stats:
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Categories:
Big Data Jobs
Engineering Jobs
Machine Learning Jobs
NLP Jobs
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