Senior Machine Learning Scientist, Content Understanding

Who We Are:

SiriusXM and its brands (Pandora, SiriusXM Media, AdsWizz, Simplecast, and SiriusXM 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 SiriusXM’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. SiriusXM’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 SiriusXM, is the largest ad-supported audio entertainment streaming service in the U.S. SiriusXM's subsidiaries Simplecast and AdsWizz make it a leader in podcast hosting, production, distribution, analytics and monetization. The Company’s advertising sales organization, which operates as SiriusXM Media, leverages its scale, cross-platform sales organization and ad tech capabilities to deliver results for audio creators and advertisers. SiriusXM, through SiriusXM Canada Holdings, Inc., also offers satellite radio and audio entertainment in Canada. In addition to its audio entertainment businesses, SiriusXM offers connected vehicle services to automakers.

How you’ll make an impact:

At SiriusXM and Pandora, understanding content is critical to delivering high-quality search, recommendation, discovery, and personalization experiences. As a Senior Machine Learning Scientist, Content Understanding, you will develop advanced machine learning solutions that help extract meaning, context, and structure from audio, text, and multimodal content. Your work will directly support content enrichment, metadata generation, semantic understanding, and emerging AI-powered experiences that improve how listeners discover and engage with content.

Working independently on complex technical challenges, you will partner with cross-functional teams to develop, deploy, and optimize machine learning solutions that deliver measurable impact for users and the business.

What You'll Do:

• Design, develop, deploy, and improve machine learning models that support content understanding across audio, text, and multimodal content sources.

• Apply modern machine learning techniques, including deep learning, transformer architectures, large language models, and multimodal learning approaches to solve content understanding challenges.

• Own complex machine learning projects from problem definition through model development, deployment, evaluation, and ongoing optimization.

• Evaluate model performance using appropriate offline metrics, experimentation frameworks, and business outcomes to drive continuous improvement.

• Collaborate closely with Product, Engineering, Analytics, and Data teams to identify opportunities and deliver impactful machine learning solutions.

• Contribute to the development and improvement of data pipelines, feature engineering processes, experimentation workflows, and model evaluation methodologies.

• Stay current with emerging advancements in machine learning, artificial intelligence, and content understanding technologies, identifying opportunities to apply new approaches where appropriate.

• Provide technical guidance and mentorship to junior scientists and contribute to a culture of collaboration, learning, and technical excellence.

• Contribute to technical discussions, architecture reviews, and solution design efforts within the team.

• Support production machine learning systems through monitoring, troubleshooting, performance optimization, and continuous improvement activities.

• This role does not have direct supervisory responsibilities.

What You'll Need:

• Education: M.S. in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Applied Mathematics, or a related quantitative field required; Ph.D. preferred.

• Experience: 3+ years of production experience developing and deploying machine learning models at scale, including experience working on complex machine learning initiatives and delivering measurable business impact.

• Technical Expertise: Strong experience with machine learning approaches used in content understanding, including deep learning, transformer architectures, large language models, natural language processing, and multimodal learning techniques.

• Production ML: Experience developing, deploying, monitoring, and optimizing machine learning systems in production environments.

• Problem Solving: Demonstrated ability to solve complex technical problems, analyze large datasets, and develop scalable machine learning solutions.

• Communication: Strong written and verbal communication skills with the ability to effectively collaborate with technical and non-technical stakeholders.

• Collaboration: Proven ability to work effectively across product, engineering, analytics, and data science teams to deliver impactful results.

• Mindset: Self-motivated, curious, and driven to solve challenging problems while continuously developing technical expertise and business understanding.

Our goal at SiriusXM is to provide and maintain a work environment that fosters mutual respect, professionalism and cooperation. SiriusXM is an equal opportunity employer that does not discriminate on the basis of actual or perceived 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 federal, state or local laws.

The requirements and duties described above may be modified or waived by the Company in its sole discretion without notice.

R-2026-05-9