Machine Learning Engineer
Build data-driven solutions to understand promoted track performance
Develop ML models to analyze promoted track performance globally, providing actionable insights for creators and partners. Use datasets and ML infrastructure to iterate and improve strategies.
Why This Role?
Direct access to growing datasets and ML infrastructure for experimentation
Required Skills
Keywords
View Original Description from Lever Postings
Original description from Lever Postings
The Music Promotion team is building products that allow creators to promote their work to reach new audiences and create lasting connections with their fans. We’re looking for a Machine Learning Engineer to help us build systems that more accurately understand the performance that promotion can have, giving customers actionable insights for building their promotion strategies, whether it’s a DIY artist or an industry-facing partner. As an ML Engineer, you will help execute on strategies for understanding the factors that play a role in the performance of promoted tracks across the globe. You’ll build data-driven solutions, as well as effective online and offline strategies to efficiently iterate and evaluate model approaches. You’ll have access to a growing list of datasets, features and ML infrastructure to continually experiment and improve the model-based approach.