Senior Machine Learning Engineering Manager

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 turn dreams into stardom and audiences into fans. We are guided by three core values that underpin everything we do across all our diverse businesses:  • Curiosity: We do our best work when we’re immersing ourselves in culture and breaking through barriers. Curiosity is the driving force behind creativity and ingenuity. It fuels innovation, and innovation is the key to our future. 
• Collaboration: Making music and bringing it to the world is all about the power of originality amplified by teamwork. A great idea, like a great song, travels globally. We ignite passions and build connections across our diverse community of artists, songwriters, partners, and fans.
• Commitment: We pursue excellence for our team and our talent. Everything in music starts with a leap into the unknown, and we’re committed to keeping the faith, acting with integrity, and delivering on our promises.
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. 
WMG is home to a wide range of artists, musicians, and songwriters that fuel our success. That is why we are committed to creating a work environment that actively values, appreciates, and respects everyone. We encourage applications from people with a wide variety of backgrounds and experiences.
Consider a career at WMG and get the best of both worlds – an innovative global music company that retains the creative spirit of a nimble independent.
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 build robust, performant machine learning infrastructure and industry leading music forecasting models. These engineers collaborate closely with data scientists, data engineers, product managers, application developers, and business operators. We're looking for an extremely strong machine learning manager to make the vision of using data-driven insights to grow WMG's artists and songwriters a reality.

What You'll Do:

• On day one you will manage 3 MLEs directly and you will grow the team quickly to 6-10 ML engineers who are responsible for setting a new bar in music data analysis
• Make technical contributions - model training, ML infra improvements, etc.
• Evangelize and demonstrate to business partners how ML based forecasts and recommendations can improve their ability to grow the business
• Review, set technical direction, contribute to technical decisions in modeling and measurement, etc. 
• Learn and grow as a professional through close collaboration with your team members and engineering leaders, and by being part of a continuous improvement and learning culture
• Tech Stack - Databricks ML platform with homegrown python-based feature store. Underlying data through both Snowflake and Databricks

Requirements:

• You have a Bachelor's degree in Computer Science, Mathematics, Physics, or other related field
• You have at least 10 years experience as a MLE
• You have at least 3 years of management experience (experience managing teams of 10-15 preferred)
• Strong ML knowledge and great SWE skills
• You are highly technical and analytical with experience building systems (ML infrastructure, data pipelines, or services)
• Driven by solving business problems, understand how and when to use ML, and how to supplement ML with heuristics or rules to build systems that work
• Should know how to talk to non technical audiences about how ML based systems can solve business problems

Responsibilities:

• Develop a strong understanding of the business problems we are trying to solve
• Together with Data Scientists, Data Engineers, Software Engineers and product leadership, identify and define the ML systems we want to build - and then design, implement, and launch those systems
• Train, evaluate, improve and launch music forecast models
• Ensure that we are able to run modeling experiments and launches with maximal efficiency, quality, reliability, and repeatability in a large-scale environment with > 2TB of incoming data per day and a total corpus in excess of 20PB
• Mentor more junior MLEs and Data Scientists
• Work closely with cross-functional partners to define opportunities, project objectives and deliverables

As the home to 10K Projects, Asylum, Atlantic Music Group, East West, FFRR, Fueled by Ramen, Nonesuch, Parlophone, Rhino, Roadrunner, Sire, Warner Records, Warner Classics, and several other of the world’s premier recording labels, Warner Music Group champions emerging artists and global superstars alike. And our renowned publishing company, Warner Chappell Music, represents genre-spanning songwriters and producers through a catalog of more than one million copyrights worldwide. 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.
Together, we are Warner Music Group: Independent Minds. Major Sound.
Love this job and want to apply?
Click the “Apply” link at the top of the page, or apply directly with your LinkedIn. Applying with LinkedIn will import all of the information you put in your profile, but will still allow you to upload a resume and cover letter.
Don’t be discouraged if you don’t hear from us right away. We’re taking our time to review all resumes, and to find the best people for WMG.
Thanks for your interest in working for WMG.  We love it here, and think you will, too.
WMG is committed to inclusion and diversity in all aspects of our business. We are proud to be an equal opportunity workplace and will evaluate qualified applicants without regard to race, religious creed, color, age, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, marital status, medical condition as defined by state law (genetic characteristics or cancer), physical or mental disability, military service or veteran status, pregnancy, childbirth and related medical conditions, genetic information or any other characteristic protected by applicable federal, state or local law.
Copyright © 2025 Warner Music Inc.