WHO ARE WE? Live Nation Entertainment is the world’s leading live entertainment company, comprised of global market leaders: Ticketmaster, Live Nation Concerts, and Live Nation Media & Sponsorship. Ticketmaster is the global leader in event ticketing with over 620 million tickets sold annually and approximately 10,000 clients worldwide. Live Nation Concerts is the largest provider of live entertainment in the world promoting more than 50,000 events annually for nearly 7,000 artists in 40+ countries. These businesses allow Live Nation Media & Sponsorship to create strategic music marketing programs that connect more than 1,200 sponsors with the 145 million fans that attend Live Nation Entertainment events each year. For additional information, visit www.livenationentertainment.com. WHO ARE YOU? Passionate and motivated. Driven, with an entrepreneurial spirit. Resourceful, innovative, forward thinking and committed. At Live Nation Entertainment, our people embrace these qualities, so if this sounds like you then please read on! THE ROLE At Live Nation our fans use our sites and apps powering one of the world's top ecommerce sites. Our events can sell out in seconds, and we leverage our data to reach and connect fans to the events they love. As a member of the engineering team, you will work on our Automated Fan Engagement and Targeting Engine creating personalized fan experiences. You will focus on improving Live Nation’s customer acquisition capabilities, amplifying our voice and enabling timely, personalized communication with fans. Your work will increase millions of fans’ awareness of live events, providing them with opportunities they otherwise would have missed. We are looking for software and machine learning graduate students to leverage and explore methods and algorithms to help connect fans to the live events they crave and remember. You are an individual with a strong curiosity about data and leveraging it to connect to fans. You are excited to work on large data sets and summarize them using a broad range of algorithms and computational approaches. You will be working with some of the most exciting data, tools, and frameworks—like Spark, Scikit-Learn, Pandas, AWS, and modern AI technologies including generative AI, large language models (LLMs), and advanced machine learning—and be a key contributor to Live Nation’s large-scale collaborative filtering system, marketing platform, and AI-driven personalization and insights initiatives. THE ROLE We have a variety of teams and problems where you can work and learn Be part of a dynamic, highly-focused team that is responsible for providing machine-learning insights and products that engage Live Nation’s 170+MM users Research and evaluate the effectiveness of various tech tools Work with Recommendations, Analytics, Marketing Automation and SEO Team members to create tools to analyze audiences, website content, conversion, search keywords and their relationships WHAT THIS PERSON WILL BRING Higher Education (Masters or PhD) Student
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Career Level
Intern
Number of Employees
5,001-10,000 employees