SiriusXM
Senior ML Scientist, Streaming Fraud and Content Understanding
SiriusXM, New York, New York, us, 10261
Senior ML Scientist, Streaming Fraud and Content Understanding
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Who We Are
SiriusXM and its brands are leaders in audio entertainment, delivering subscription‑ and ad‑supported media experiences for listeners worldwide. Our mission is to shape the future of audio by connecting people with compelling stories, music, and voices.
How You’ll Make An Impact
As a Senior Machine Learning Scientist you 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 and build foundational AI systems that deeply understand our content.
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 and 3–5 years of relevant work experience.
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.
Base salary for this position is in the range of $130,000–$217,000, with potential for discretionary short‑term and long‑term incentives.
Equal Opportunity Employer
– SiriusXM is an equal opportunity employer that does not discriminate on the basis of race, color, religion, sex, national origin, disability, veteran status, or any other characteristic protected by law.
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Who We Are
SiriusXM and its brands are leaders in audio entertainment, delivering subscription‑ and ad‑supported media experiences for listeners worldwide. Our mission is to shape the future of audio by connecting people with compelling stories, music, and voices.
How You’ll Make An Impact
As a Senior Machine Learning Scientist you 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 and build foundational AI systems that deeply understand our content.
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 and 3–5 years of relevant work experience.
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.
Base salary for this position is in the range of $130,000–$217,000, with potential for discretionary short‑term and long‑term incentives.
Equal Opportunity Employer
– SiriusXM is an equal opportunity employer that does not discriminate on the basis of race, color, religion, sex, national origin, disability, veteran status, or any other characteristic protected by law.
#J-18808-Ljbffr