Machine Learning/AI Engineer

Warner Music Inc. • Vancouver • 1m ago

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 and AI 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 who have applied their rigor and deep understanding of Machine Learning to build robust AI applications. Our ideal candidate will have strong MLE and Data Science skills along with a passion for building efficient, robust software across the entire AI application stack, from model development and operations of traditional ML models, to the development and deployment of production applications leveraging GenAI foundation models.

Responsibilities:

Develop a strong understanding of the business problems we are trying to solve.
Partner with tech leadership and data scientists to identify business problems amenable to machine learning solutions. Own the entire AI application lifecycle from model definition and data preparation to deployment, monitoring, and maintenance.
Design, implement, and launch systems that enable scalable AI applications, including robust data pipelines, feature stores, and high-throughput model serving APIs.
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.
Establish and maintain MLOps practices to automate and streamline the entire AI development lifecycle, including experiment tracking, model registries, and automated retraining and deployment.
Mentor more junior MLEs and Data Scientists.
Work closely with cross-functional partners to define project objectives and deliverables.

Requirements:

3+ years of full-time hands-on experience building scaled ML systems, training large ML models, or equivalent experience.
1+ year of AI engineering experience.
Bachelor’s Degree or above in a quantitative field.
Excellent coding and system design skills.
Strong practical ML knowledge, working knowledge of ML theory, and a deep understanding of the AI application stack and lifecycle in the context of foundation models, from evaluation to deployment.
Demonstrated experience making an impact with foundation models, including the application of techniques like prompt engineering and retrieval-augmented generation (RAG).
High sense of ownership and a drive to deliver impact in a fast-paced, evolving, ambiguous environment.
Ability to collaborate closely with Data Scientists, Software Engineers, and Product Managers.
Strong communication skills and ability to influence roadmaps and ML/AI strategy.
Experience with cloud computing services or platforms (preferably AWS).
Experience with both Snowflake and Databricks is a plus.

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.

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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.