Senior Machine Learning Engineer

New York, NY
Engineering – Engineering /
Full-Time /
Remote
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 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.  Our ideal candidate will have strong ML and Data Science skills along with experience and a passion for building efficient, robust software.

Responsibilities:

    • 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:

    • 7+ 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
$156,000 - $206,000 a year
Salary ranges are included for job postings where required by law. The actual base pay is dependent upon many factors, such as work experience and business needs. The pay range is subject to change at any time dependent on a variety of internal and external factors.