Machine Learning Engineer II - Ad Forecasting

Spotify is a leading audio streaming subscription service dedicated to transforming music listening and supporting creative artists. They are seeking a Machine Learning Engineer II to lead initiatives in Ad Forecasting, focusing on building predictive models for ad inventory, demand, and performance while collaborating with various teams to enhance solutions for users and business partners.

Responsibilities:

• Design and implement machine learning systems to predict future ad inventory,demand, and performance
• Research and apply best practices for driving automation with respect to human review processes
• Partner with multiple teams to shape and enhance shared systems and pipelines
• Come up with creative ways to apply AI tools to develop innovative solutions
• Collaborate with and lead backend engineers, data scientists, data engineers, and product managers to establish baselines, inform product decisions, and develop new technologies

Requirements:

• You have professional experience in applied machine learning
• You have strong technical expertise in application development, microservice architecture, distributed systems and/or data analysis
• You are proficient in programming languages such as Python, Java, or Scala
• You are skilled with operating in a cloud-native infrastructure
• You have experience in developing data pipelines using tools like Apache Beam or Spark
• As a plus, you may have experience with adtech, categorization systems, and evaluation tools / data curation techniques