AI/ML Job: Software Engineer


Ticketmaster

Software Engineer at Ticketmaster

Atlanta, Georgia, United States 🇺🇸   (Posted Sep 18 2018)
About the company
Ticketmaster, a proud division of Live Nation Entertainment - an organization certified as a Great Place to Work® - is the world's leading live event ticketing company selling over 465 million tickets each year in over 30 countries worldwide. At Ticketmaster, we power the people who create culture through live events, connecting more passionate fans to those experiences than anyone else. We are innovators that embrace change and work hard to help others succeed. We believe in open communication and stress accountability, because fans and clients count on us every day. We strive for ease of use for our clients and fans while seeking out those who have a bias for action versus a desire for directives.

Live Nation Entertainment (NYSE: LYV) is the world’s leading live entertainment company comprised of global market leaders Live Nation Concerts, Ticketmaster, and Live Nation Media & Sponsorship.

Do they allow remote work?
Remote work is possible, become a digital nomad and work remotely at this company

Job description
Who we are.

We’re fans who help fans everywhere get in to the live events they love. A proud division of Live Nation Entertainment, Ticketmaster has changed the way the world connects with their favorite artists, teams, and shows, and we continue to shape innovation every day. We’re not just selling tickets (though we do that better than anyone else), we’re enriching lives one amazing experience at a time. And we think that’s pretty amazing. If you’re passionate about the magic of live entertainment like we are, and you want to work at a company dedicated to helping millions of fans experience it, we want to hear from you.

Why you should work with us.

Our biggest investment is in our people. We offer comprehensive health benefits and 401k matching, student loan assistance, plus career-boosting opportunities like tuition reimbursement and targeted development sessions to help all eligible employees thrive. At Ticketmaster, expect the fast-paced excitement of a startup with the rock-solid support from an industry leader – with plenty of ticket perks on the side.

The Role:

We are looking for engineers to become key contributors in Ticketmaster’s Data Quality efforts, playing an important role connecting fans with the live events they love. Ticketmaster has over 40 years of unique global data about the relationship between fans and the entertainment that they want to see. We are looking for passionate individuals to help turn data into products through scientific discovery and engineering. At Ticketmaster you will work with very large real-time datasets representing complex events and interactions. You will employ a broad range of cutting edge techniques to stream, process, and monitor the data and manage the systems. As a member of the Data Quality team your mandate will be to drive business value through the identification and alignment of core business data sets to enable near real time inventory id and management.

Responsibilities:

In this role you will:

Be part of a dynamic, highly-focused team that is responsible for building software products that provide & exploit real-time and historical data on millions of events across tens of thousands of venues.

Build the platform that enables analysis and machine learning on very large data sets on a distributed near-real time predictive learning system.

Be directly involved in the productization of machine learning algorithms and ideas into full-fledged commercial-grade SW tools that will directly interact with, and affect the experience of million of users, both domestically and internationally

Build and manage the metrics collection and monitoring systems that allow us keep the data flowing within our SLAs

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

Skills & requirements
Bachelor’s degree in Computer Science or related preferred

Experience with Java ecosystem

Experience with Jenkins/Git/Maven CD/CI build pipelines is desirable

Experience with Distributed Streaming technologies (Storm/Kafka/Zookeeper/Kinesis) is desirable

Experience with Distributed Computing frameworks and technologies (Hadoop, HDFS, etc) is desirable

Experience with NoSQL data stores (HBase, Cassandra, Elastic Search, etc) is desirable

Experience with unit testing frameworks like JUnit, Mockito or similar

Experience with Online/Real-time algorithms is a plus

Experience with Agile and Lean practices preferred

Experience with the AWS ecosystem is a plus

Passion for learning, collaborating and building

Effective communication skills and enjoying work as part of a team

Instructions how to apply
see the website
[ job website ]

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