Artificial Intelligence and Machine Learning Engineer
3 weeks 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.
Our engineering team makes all of it a reality by building cutting-edge inference systems to better understand the landscape of music consumption. We're 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.
Key Responsibilities:- Work closely with Data Scientists and engineering and product leadership to identify and define the ML systems we want to build.
- Contribute to model building, evaluation, and launch.
- Ensure that we are able to run modeling experiments and launches with maximal efficiency, quality, reliability, and repeatability in a large-scale environment.
- Mentor more junior MLEs and Data Scientists.
- Work closely with cross-functional partners to define project objectives and deliverables.
- 4+ years of full-time hands-on experience building scaled ML systems.
- Excellent coding and system design skills.
- Ability to collaborate closely with Data Scientists, Software Engineers, and Product Managers.
- Bachelor's Degree or above in a quantitative field.
About us:
As the home to 300 Elektra, Asylum, Atlantic, 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 catalogue of more than one million copyrights worldwide.
Together, we are Warner Music Group: Music With Vision & Voice.
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.
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