Warner Music Group

Senior Machine Learning Engineer

Skills

ReliabilitySystems Design

Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

7+ years of building scaled ML systems
Excellent coding and system design skills
Strong practical ML knowledge and understanding of ML theory
High sense of ownership and drive to deliver impact
Ability to collaborate with cross-functional teams
Strong communication skills
Experience with cloud computing services (preferably AWS)
Experience with Snowflake and Databricks is a plus
Bachelor’s Degree or above in a quantitative field

Nice to have

Experience with Snowflake
Experience with Databricks

Day to day

Collaborate with Data Science and Data Platform teams to build scalable Machine Learning systems
Develop a strong understanding of business problems
Design, implement, and launch ML systems
Ensure maximal efficiency, quality, reliability, and repeatability in a large-scale environment
Mentor junior MLEs and Data Scientists
Work with cross-functional partners to define project objectives and deliverables

Hiring process

Click the 'Apply' link at the top of the page, or apply directly with LinkedIn
Upload resume and cover letter
We review all resumes to find the best candidates

Company

Why this team might suit you

Mission, benefits, values and useful company context.

Mission

Warner Music Group (WMG) brings together artists, songwriters, entrepreneurs, and technology that are moving entertainment culture across the globe. Operating in more than 70 countries through a network of affiliates and licensees, WMG’s Recorded Music division includes renowned labels such as 10K Projects, 300 Entertainment, Asylum, Atlantic, Big Beat, Elektra, Erato, First Night, Fueled By Ramen, Nonesuch, Parlophone, Reprise, Rhino, Roadrunner, Sire, Spinnin’, Warner Records, Warner Classics, and Warner Music Nashville. WMG’s music publishing arm, Warner Chappell Music, has a catalog of over one million copyrights spanning every musical genre, from the standards of the Great American Songbook to the biggest hits of the 21st century. Warner Music Group is also home to ADA, which supports the independent community, as well as artist services division WMX. In addition, WMG counts film and television storytelling powerhouse Warner Music Entertainment among its many brands.

Benefits

Inclusive and diverse workplace
Equal opportunity employer
Global music and tech company

Values

At Warner Music Group, we’re a global collective of music makers and music lovers, tech innovators and inspired entrepreneurs, game-changing creatives and passionate team members. Here, we know that each talent makes our collective bolder and brighter. Technology is one of the most important parts of our business. Whether it’s signing up new artists; ensuring we provide the right data to Spotify, YouTube, and other digital service providers; or helping artists use the latest AI tools and make thoughtful decisions with data-driven insights – technology plays an invaluable role in our success. The engineering team at Warner Music Group makes all of it a reality. At Warner Music Group, we are building cutting edge inference systems to better understand the landscape of music consumption toward the goal of providing actionable insights that drive business growth. We are hiring talented Machine Learning Engineers to collaborate with our Data Science and Data Platform teams in order to build scalable Machine Learning systems that enable rapid iteration, experimentation, and continual improvement in our modeling efforts. Our ideal candidate will have strong ML and Data Science skills along with experience and a passion for building efficient, robust software.