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SiriusXM Radio, Inc. Director, Science & Machine Learning - Search & Voice in New York, New York

Who We Are:

SiriusXM and its brands (Pandora, SiriusXM Media, AdsWizz, Simplecast, and SiriusXM Connected Vehicle Services) 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 Sirius XM 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:

SiriusXM is looking for a senior applied science leader to join our Science and Machine Learning

organization. In this role, you will lead a team of applied scientists, and partner with engineering and

product counterparts, to improve the search and voice experience across our family of products including SiriusXM and Pandora. The team's mission is to enhance the discovery of audio content (including music, talk shows, podcasts, etc.) through search by text and voice.

What you'll do

  • Work cross functionally with business and product owners to identify and translate requirements to scientific problems.
  • Lead, manage and inspire a team of applied scientists to develop algorithms and machine learning models to improve search quality across our consumer facing products.
  • Collaborate with the engineering team on implementation and deployment of new algorithms and machine learning models to production.
  • Provide technical leadership, driving project execution, and defining a long-term technical roadmap for the team.
  • Contribute to the broader vision and long term scientific roadmap of the organization.
  • Foster a culture of innovation, impact, collaboration and inclusion within your team and the broader Science and Machine Learning organization.
  • Prepare and present executive summaries of results to stakeholders in product, engineering and business organizations.
  • Drive technical innovation through active research and application of state of the art machine learning and algorithmic technologies.
  • Actively participate in generating intellectual property and strengthening the research and tech brand of the organization.

What you'll need:

  • MS, or PhD in Computer Science, Computer Engineering, Mathematics, Electrical Engineering, Physics, or a related field.
  • 10+ years of relevant experience in research and development of machine learning systems and algorithms including 3+ years leading teams in search domain. Experience with ML/AI algorithms, deep learning, or natural language processing (NLP).
  • Excellent communication skills and the ability to lead multi-functional efforts.
  • Ability to work in ambiguous environments.
  • Excellent written and verbal communication skills.
  • Ability to work independently and in a team environment.
  • Commitment to "internal client" and customer service principles.
  • Willingness to take initiative and to follow through on projects.
  • Must have legal right to work in the U.S.

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. We expect the base salary for this position to be in the range of $203,800 to $280,000 and will depend on your skills, qualifications, and experience. Additionally, this role might be eligible for discretionary short-term and long-term incentives. We encourage all interested candidates to apply.

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-2024-07-30

As an EEO/Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status.



Minimum Salary: 31200.00 Maximum Salary: 31200.00 Salary Unit: Yearly

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