Sr Machine Learning Engineer

Job Description

Location: Remote

Live Nation Entertainment is the world's leading live entertainment and eCommerce company, comprised of four market leaders: Ticketmaster.com, Live Nation Concerts, Front Line Management Group and Live Nation Network. Ticketmaster.com is the global event ticketing leader and one of the world's top five eCommerce sites, with over 26 million monthly unique visitors. Live Nation Concerts produces over 20,000 shows annually for more than 2,000 artists globally. Front Line is the world's top artist management company, representing over 250 artists. These businesses power Live Nation Network, the leading provider of entertainment marketing solutions, enabling over 800 advertisers to tap into the 200 million consumers Live Nation delivers annually through its live event and digital platforms. For additional information, visit www.livenation.com/investors.

THE TEAM

Core Data Services team is at the center of Data and Analytics initiative. We are in the beginning of our journey to build and enterprise data platform capable to be a true underpinning of any data needs for the enterprise. Our mission is to make reliable data available and enable value creation by the data community of engineers, analysts and decision makers. Core Data Services team consists of Platform engineering team, Data Engineering, Data Enablement and Operations team.

Core Data Services is currently in process of adopting Spark as our main ETL engine and realizing the value of highly functional, performant and transparent Data Lake, all this while maintaining and streamlining existing data infrastructure and doing careful migration. Team's focus is on maximizing the functionality, value and content, optimizing cost of ownership and usability of delivered data services.

We see our success in creating a community of data engineers and analysts across the company who can utilize our platform, the Data Lake and data assets within it and to live to the expectation of our ambitious name: Core Data Services.

THE ROLE

As we are looking for our first hire for Machine Learning engineering, we are looking for an experience self-starter able to begin ML practice and establish architecture, tools, infrastructure and processes to build ML-based data quality assessment service as part of the new data platform. Our data is only good if it is used, so ensuring reliable data quality using best of breed techniques and advanced ML approach is the scope of success. Knowing that this work has to be done for any and all existing and future data on the platform, this task is for an ambitious MLE who moves fast, capable of breaking down and solving complex problems, has a strong will to get things done and has had successes in this area in the past and is able to apply experience and wisdom to find a short path to success.

This is a unique opportunity to apply ML to the data engineering space and build a self-reflective intelligent data system that handle data quality issues to ensure quality results and quality analytics for the leading live entertainment company in the world. We expect to apply cutting-edge technology, to be solving extremely challenging problems, fully owning your work and bring results that will ensure the delight of the clients.

WHAT THIS ROLE WILL DO
• Establish new ML practice at Core Data Services Team
• Collaborate with data science and advanced analytics teams in algorithm development
• Imagine, define, design, architect and build a data quality monitoring service as part of the new Data Platform
• Partner with platform engineering and operations teams to implement ML in production in robust and scalable fashion

WHAT THIS PERSON WILL BRING (TECHNICAL SKILLS/COMPETENCIES)
• Bachelor's degree in computer science or a related major, with 4 + years of related work experience
• Experience in one or more of the following areas: applied machine learning, machine learning infrastructure, market-facing machine learning product
• Deep understanding of data treatments and feature engineering
• Experiences productizing ML models end to end
• Experience with PySpark, SparkSQL, Databricks Delta Lake, MLFlow is a plus
• Strong SQL and R or Python
• Experience with high velocity high volume streaming data is preferred
• Strong communication, presentation and teamwork skills
• Passion about techniques and solving challenging problems
• Ability to work in a demanding fast paced environment
• Strong desire to succeed and can-do attitude

BENEFITS & PERKS
Our motto is 'Taking Care of Our Own' through 6 pillars of benefits:
• HEALTH: Medical, Vision and Dental benefits for you and your family, including Flexible Spending Accounts (FSA) and Health Savings Accounts (HSAs)
• YOURSELF: Generous paid time off policy including paid holidays, sick time and paid days off for your birthday, Free concert tickets
• WEALTH: 401(k) program with company match, Stock Program
• FAMILY: New parent programs & support including caregiver leave and baby bonuses, infertility support
• CAREER: Tuition reimbursement, student loan repayment internal growth and development programs & trainings
• OTHERS: Volunteer time off, crowdfunding network

Live Nation's policy regarding vaccinations and masking will evolve based upon updated regulations and factors related to COVID-19. Currently, we strongly encourage employees to be fully vaccinated or have received a negative COVID test within [24] hours of entering an office.

#LI-CB1 #LI-Remote

Jobcode: Reference SBJ-gwyb12-216-73-216-202-42 in your application.