SiriusXM
Overview
Get AI-powered advice on this job and more exclusive features. Direct message the job poster from SiriusXM. SiriusXM and its brands (Pandora, SiriusXM Media, AdsWizz, Simplecast, and SiriusXM Connect) deliver compelling subscription and ad-supported audio entertainment experiences across devices. Our vision is to shape the future of audio, connecting listeners with voices, stories and music wherever they are. This is a place where a diverse group of talent and legends share authentic songs, stories, sounds and insights through world-class programming and technology. Our audio entertainment spans music, sports, comedy, news, talk, live events, and podcasting. SiriusXM
is the leading audio entertainment company in North America, with platforms reaching approximately 150 million listeners across paid and free tiers. Pandora is the largest ad-supported audio entertainment streaming service in the U.S. SiriusXM’s subsidiaries Simplecast and AdsWizz lead in podcast hosting, production, distribution, analytics and monetization. SiriusXM also offers connected vehicle services to automakers and, through SiriusXM Canada Holdings, Inc., satellite radio and entertainment in Canada. What 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 building foundational ML/AI systems that deeply understand our content. You will collaborate with Engineering, Content Licensing, and Product to productionize systems that mitigate fraud, uphold royalty integrity, and surface high-quality content for listeners. What you’ll do
Frame business goals as machine learning problems across Pandora and SiriusXM and own their execution. Research, design, and build high-impact machine learning models to combat streaming fraud at scale and extend SiriusXM’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., TensorFlow/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. Compensation and equal opportunity
At SiriusXM, we carefully consider a wide range of factors when determining compensation, including your background and experience. These considerations can cause your compensation to vary. The base salary for this position is expected to be in the range of $130,000 to $198,125, depending on skills, qualifications, and experience. This role may be eligible for discretionary short-term and long-term incentives. We encourage all interested candidates to apply. Our goal is to provide a work environment that fosters mutual respect, professionalism and cooperation. SiriusXM is an equal opportunity employer that does not discriminate on the basis of race, creed, color, religion, national origin, ancestry, alienage or citizenship status, age, disability or handicap, sex, gender identity, marital status, familial status, veteran status, sexual orientation or any other characteristic protected by applicable laws. The requirements and duties described above may be modified or waived by the Company in its sole discretion without notice. #LI-RE1 R-2025-06-51
#J-18808-Ljbffr
Get AI-powered advice on this job and more exclusive features. Direct message the job poster from SiriusXM. SiriusXM and its brands (Pandora, SiriusXM Media, AdsWizz, Simplecast, and SiriusXM Connect) deliver compelling subscription and ad-supported audio entertainment experiences across devices. Our vision is to shape the future of audio, connecting listeners with voices, stories and music wherever they are. This is a place where a diverse group of talent and legends share authentic songs, stories, sounds and insights through world-class programming and technology. Our audio entertainment spans music, sports, comedy, news, talk, live events, and podcasting. SiriusXM
is the leading audio entertainment company in North America, with platforms reaching approximately 150 million listeners across paid and free tiers. Pandora is the largest ad-supported audio entertainment streaming service in the U.S. SiriusXM’s subsidiaries Simplecast and AdsWizz lead in podcast hosting, production, distribution, analytics and monetization. SiriusXM also offers connected vehicle services to automakers and, through SiriusXM Canada Holdings, Inc., satellite radio and entertainment in Canada. What 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 building foundational ML/AI systems that deeply understand our content. You will collaborate with Engineering, Content Licensing, and Product to productionize systems that mitigate fraud, uphold royalty integrity, and surface high-quality content for listeners. What you’ll do
Frame business goals as machine learning problems across Pandora and SiriusXM and own their execution. Research, design, and build high-impact machine learning models to combat streaming fraud at scale and extend SiriusXM’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., TensorFlow/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. Compensation and equal opportunity
At SiriusXM, we carefully consider a wide range of factors when determining compensation, including your background and experience. These considerations can cause your compensation to vary. The base salary for this position is expected to be in the range of $130,000 to $198,125, depending on skills, qualifications, and experience. This role may be eligible for discretionary short-term and long-term incentives. We encourage all interested candidates to apply. Our goal is to provide a work environment that fosters mutual respect, professionalism and cooperation. SiriusXM is an equal opportunity employer that does not discriminate on the basis of race, creed, color, religion, national origin, ancestry, alienage or citizenship status, age, disability or handicap, sex, gender identity, marital status, familial status, veteran status, sexual orientation or any other characteristic protected by applicable laws. The requirements and duties described above may be modified or waived by the Company in its sole discretion without notice. #LI-RE1 R-2025-06-51
#J-18808-Ljbffr