Warner Music Group
With a legacy extending back over 200 years, Warner Music Group (WMG) today brings together artists, songwriters, and entrepreneurs that are moving entertainment culture across the globe$1. .$1
1001 - 5000
Machine Learning Engineer
August 27
🏡 Remote – Anywhere in Canada
Warner Music Group
With a legacy extending back over 200 years, Warner Music Group (WMG) today brings together artists, songwriters, and entrepreneurs that are moving entertainment culture across the globe$1. .$1
1001 - 5000
Description
• Develop a strong understanding of the business problems we are trying to solve. • Together with Data Scientists and engineering and product leadership, identify and define the ML systems we want to build - and then design, implement, and launch those systems. • 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 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
• 4+ years of full-time hands-on experience building scaled ML systems, or equivalent. • Excellent coding and system design skills. Strong practical ML knowledge, working knowledge of ML theory and how it influences modeling choices. • 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 Manager. • Strong communication skills and ability to influence roadmaps and ML strategy. • Experience with cloud computing services or platforms (preferably AWS) • Experience with both Snowflake and Databricks is a plus • Bachelor’s Degree or above in a quantitative field
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