Posted Date:12/5/2017 2:04:54 PM
Job Type: Full Time
Req #: JR-09949
Location: Hollywood, CA
Job Category:

ENGINEER II – SOFTWARE sought by Live Nation Worldwide, Inc. in Hollywood, CA. 


Duties: Build the systems that stream and analyze very large data sets. Responsible for providing machine-learning insights and software products that engage Ticketmaster's 170+MM users. Develop software to prototype new algorithms for user identification and segmentation, performance optimization and user response prediction as part of a massively parallel and distributed near-real time predictive learning system. Directly involve in the productization of algorithms and ideas into full-fledged commercial-grade software tools that will directly interact with, and affect the experience of millions of users, both domestically and internationally. Build and manage the metrics collection and monitoring systems that allow us to keep the data flowing within our SLAs (Service Level Agreement). Participate in peer code reviews, write unit tests and provide feedback to other members of the team. Carry out rigorous model validation and model tuning/optimization as part of the natural model life-cycle.

Send resume to: John Burkle, Live Nation Worldwide, Inc., 7060 Hollywood Blvd., Hollywood, CA 90028. 


Requirements: Master’s degree or equivalent in Software Engineering, Computer Science or related field, plus two (2) years of experience as a Software Engineer, Data Engineer or related occupation. Must have experience in utilizing Object Oriented Programming (OOPs) paradigms and design pattern concepts; working on sprint cycles and Java and core Java concepts including Multithreading and Generics; working with front end web technologies including HTML, CSS, JavaScript, JQuery and JSON; experience in front end web framework, Backbone.js, and building RESTFUL web services using Spring MVC Framework; working with backend databases including MongoDB and MySQL; building named queries using ORM’s including Hibernate; writing unit-tests using Junit and utilizing source control systems including SVN; and using project build management tools including Apache Maven, and using JIRA to track bugs.

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