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Recommendations Principal Software Engineer


El Segundo, CA
Job Code:
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Job Details

Company AT&T

Job Title Recommendations Principal Software Engineer

Jobid att4-7078942

Location: El Segundo, CA, 90245, USA

Description AT&T
Mobility and Entertainment provides world class digital delivery of
entertainment and sports content. Our engineers are constantly developing and
enhancing our leading edge software solutions, delivering an industry-leading
customer experience over satellite, mobile, video on demand, and interactive
services. We are constantly looking for
ways to reduce roadblocks for our engineers so they can do what they do best:
deliver world-class entertainment products.

**About the Job**

AT&T Entertainment Systems is looking for an experienced engineer to join
the Entertainment Data Services group. This individual will be part of a team
responsible for integrating with our big data system and developing
recommendation services to better serve the entertainment experience to our
customers. The successful candidate will have the vision and experience to
guide the team to adopt the latest data analysis technology and provide inputs
to the recommendation’s platform. We are looking for individuals from a
diversity of backgrounds with demonstrated quantitative and problem-solving


+ Selecting features, building and optimizingclassifiers using machine learning techniques

+ Data mining using state-of-the-art methods

+ Enhancing data collection procedures to includeinformation that is relevant for building analytic systems

+ Processing, cleansing, and verifying theintegrity of data used for analysis

+ Doing ad-hoc analysis and presenting results ina clear manner

+ Collaborate with product team to alignengineering roadmap with product roadmap

+ Work closely with system architects to evaluate designand implementation

+ Implement,test, and deploy the services with business and operational features

+ Evaluate different technologies and providetechnical input to the team.

+ Create and maintain an engineering roadmapfocused on Recommendations features


+ 8+ years of experience building production software systems

+ Hands on experience with Java/J2EE, Scala, and Machinelearning using Spark MLlib, Python, etc.

+ Optionally preferred experience in Node.js, AWS, Docker andKubernetes to support micro-services development

+ Excellent understanding of machine learning techniques andalgorithms, such as k-NN, Naïve Bayes, SVM, Decision Forests, etc.

+ Experience with: Large scale distributed computing, Databaseinternals, Big Data engines such as Spark and Hadoop

+ Work experience in Recommendation System using Big Data ecosystem

+ Strong foundation in algorithms and data structures andtheir real-world use cases.

+ Experience with common data science toolkits, experiencewith data visualization tools

+ Good applied statistics skills, such as distributions,statistical testing, regression, etc.

+ Data-oriented personality

+ Excellent written and verbal communication skills including theability to effectively communicate technical issues and solutions to all levelsof the organization

+ Stronganalytical, problem solving, and troubleshooting skills

+ Excellentmultitasking and time management skills with consistent attention todetail

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