Description
Our mission on the Advertising Product & Technology team is to build a next-generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for hundreds of millions of fans and hundreds of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities for our artists and creators.
We are seeking a Senior Machine Learning Engineer to join the Supply Personalization squad. Supply Personalization focuses on optimizing the volume, timing, and types of ad loads a user receives. By leveraging data, machine learning, causal inference, and large-scale online experimentation, we aim to uncover and learn the most effective strategies for enhancing user experiences and driving business outcomes.
As a Senior Machine Learning Engineer, you will design and implement machine learning systems for ad performance optimization. You will research and apply ML optimization strategies to balance multiple objectives effectively. You will analyze data and use machine learning techniques to understand user behavior and improve ad experiences. You will collaborate with backend engineers, data scientists, data engineers, and product managers to establish baselines, inform product decisions, and develop new technologies.
The ideal candidate will have professional experience in applied machine learning. They will have strong technical expertise in software engineering, data analysis, and machine learning. They will be proficient in programming languages such as Python, Java, or Scala. They will have experience with TensorFlow or PyTorch and working with various aspects of the ML lifecycle. They will also have expertise in developing data pipelines using tools like Apache Beam or Spark.