Senior ML Scientist, Streaming Fraud and Content Understanding

Overview

Who We Are: Sirius

XM and its brands (Pandora, Sirius

XM Media, Ads Wizz, Simplecast, and Sirius

XM Connect) are leading a new era of audio entertainment and services by delivering the most compelling subscription and ad-supported audio entertainment experience for listeners -- in the car, at home, and anywhere on the go with connected devices. Our vision is to shape the future of audio, where everyone can be effortlessly connected to the voices, stories and music they love wherever they are.

This is the place where a diverse group of emerging talent and legends alike come to share authentic and purposeful songs, stories, sounds and insights through some of the best programming and technology in the world. Our critically-acclaimed, industry-leading audio entertainment encompasses music, sports, comedy, news, talk, live events, and podcasting. No matter their individual role, each of our employees plays a vital part in bringing Sirius

XM’s vision to life every day.

SiriusXM is the leading audio entertainment company in North America, and the premier programmer and platform for subscription and digital advertising-supported audio products. Sirius

XM’s platforms collectively reach approximately 150 million listeners, the largest digital audio audience across paid and free tiers in North America, and deliver music, sports, talk, news, comedy, entertainment and podcasts. Pandora, a subsidiary of Sirius

XM, is the largest ad-supported audio entertainment streaming service in the U.S. Sirius

XM s subsidiaries Simplecast and Ads Wizz make it a leader in podcast hosting, production, distribution, analytics and monetization. The Company’s advertising sales organization, which operates as Sirius

XM Media, leverages its scale, cross-platform sales organization and ad tech capabilities to deliver results for audio creators and advertisers. Sirius

XM, through Sirius

XM Canada Holdings, Inc., also offers satellite radio and audio entertainment in Canada. In addition to its audio entertainment businesses, Sirius

XM offers connected vehicle services to automakers.

How you’ll make an impact:

As a Senior Machine Learning Scientist, you will play a critical role in protecting 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 closely collaborate with partners in 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.

What you’ll do:

• 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.

What you’ll need:

• 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…