Senior ML Scientist, Streaming Fraud and Content Understanding

Overview

Senior ML Scientist, Streaming Fraud and Content Understanding  will protect our platform from streaming fraud, unfair royalty payouts, and degraded user experiences. You will research and develop ML models to detect anomalous user behavior while also building foundational ML/AI systems that deeply understand our content. You will collaborate with Engineering, Content Licensing, and Product to product ionize systems that mitigate fraud, uphold the integrity of royalty payouts, and surface high-quality content to our listeners.

• Frame business goals as machine learning problems across Pandora and Sirius
  
  XM and own their execution.
• Research, design, and build high-impact machine learning models to combat streaming fraud at scale and extend Sirius
  
  XM’s content understanding capabilities.
• Develop content understanding models using ML/AI techniques that power downstream systems across listener experiences, royalty processing, and catalog management.
• Create new signals and pipelines to better model user behavior, content consumption patterns, and behavioral anomalies.
• Collaborate with cross-functional partners including Engineering, Product, Content Licensing, and Curation.
• This role does not have direct supervisory responsibilities.

• A Ph.D. or M.S. in a quantitative field, plus zero, or two years of industry experience, respectively.
• 3+ additional years of research and development experience in real-world content understanding and/or fraud detection systems.
• Deep understanding of supervised and unsupervised machine learning, anomaly detection, and graph-based techniques.
• Hands-on experience with LLMs, including retrieval-augmented generation (RAG) pipelines, vector stores, and orchestration frameworks.
• Experience with large-scale data and production ML pipelines (e.g., Tensor Flow/PyTorch, Airflow, Spark, cloud platforms like AWS/GCP).
• Excellent written and verbal communication skills, with the ability to effectively advocate technical solutions to scientists, engineers, and product audiences.
• Passion for data-driven research, development, and experimentation.
• Self-motivated, growth-oriented, and driven to pursue solutions to challenging problems.
• Must have legal right to work in the U.S.

Our compensation range and incentives vary based on background and experience. This position is based in the United States. Sirius

XM is an equal opportunity employer that does not discriminate on the basis of race, creed, color, religion, national origin, ancestry, citizenship status, age, disability, sex, gender identity, marital status, familial status, veteran status, sexual orientation, or any other characteristic protected by applicable laws.