Senior Machine Learning Engineer

1 month ago

Vancouver, British Columbia, Canada Warner Music Inc. Full time
Job Title: Senior Machine Learning Engineer

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. Technology plays a vital role in our business, from signing up new artists to providing data to digital service providers and helping artists use AI tools and make data-driven decisions.

Job Summary:

We're hiring talented Machine Learning Engineers to collaborate with our Data Science and Data Platform teams 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, experience, and a passion for building efficient, robust software.

Key Responsibilities:
  • Contribute to model building, evaluation, and launch.
  • Ensure that we can 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 project objectives and deliverables.
Requirements:
  • 7+ years of full-time hands-on experience building scaled ML systems, or equivalent.
  • 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 Warner Music Group:

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. Our renowned publishing company, Warner Chappell Music, represents genre-spanning songwriters and producers through a catalogue of more than one million copyrights worldwide.

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