Machine Learning Engineer II Ad Forecasting

We are seeking a Machine Learning Engineer with expertise in machine learning model development, AI engineering, online experimentation techniques, and large-scale engineering systems. This role will lead strategic initiatives and projects within Ads Forecasting. The Ads Forecasting squad focuses on building and maintaining the models and systems that predict future ad inventory,demand, and performance across Spotify's platform. By leveraging data and experimentation, we aim to provide accurate, timely forecasts that drive key business decisions, optimize ad delivery, and ensure the long-term health of our advertising business. We operate on the cutting edge of both machine learning and AI engineering, employing both in-house first party models developed through traditional machine learning and state-of-the-art time-series and predictive modeling techniques. We are looking for someone who is motivated by user and business problems as much as they are by technical problems, and who enPlease mention the word **PAMPERS** and tag RMjAwMTo0MWQwOjcwMToxMTAwOjoxNjRh when applying to show you read the job post completely (#RMjAwMTo0MWQwOjcwMToxMTAwOjoxNjRh). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

We are seeking a Machine Learning Engineer with expertise in machine learning model development, AI engineering, online experimentation techniques, and large-scale engineering systems. This role will lead strategic initiatives and projects within Ads Forecasting. The Ads Forecasting squad focuses on building and maintaining the models and systems that predict future ad inventory,demand, and performance across Spotify's platform. By leveraging data and experimentation, we aim to provide accurate, timely forecasts that drive key business decisions, optimize ad delivery, and ensure the long-term health of our advertising business. We operate on the cutting edge of both machine learning and AI engineering, employing both in-house first party models developed through traditional machine learning and state-of-the-art time-series and predictive modeling techniques. We are looking for someone who is motivated by user and business problems as much as they are by technical problems, and who enPlease mention the word **PAMPERS** and tag RMjAwMTo0MWQwOjcwMToxMTAwOjoxNjRh when applying to show you read the job post completely (#RMjAwMTo0MWQwOjcwMToxMTAwOjoxNjRh). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.