You will develop and deploy machine learning models to optimize advertising functions, including inventory forecasting, pricing, targeting, and ad delivery.
Responsibilities
Build and experiment with new algorithms and models from end-to-end through production rollout and continuous optimization.
Develop scalable methods for large-scale data analysis and model development.
Invent and iterate on solutions for complex advertising-related problems.
Collaborate with engineering, program, and product management teams.
Mentor team members and guide their technical development.
Required Skills
4+ years of experience in machine learning and statistics at leading internet companies.
Proficiency in Python, Java, Scala, Spark, and SQL.
Solid understanding of mathematics, statistics, and ML technologies.
Experience building data-driven services and applications.
MS or PhD in Computer Science or Electrical Engineering.
Preferred Skills
Experience in digital video advertising or digital marketing.
Knowledge of feature stores, audience segmentation, and MLOps.
Hands-on experience with PyTorch, TensorFlow, Kubeflow, SageMaker, or Databricks.