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Adswizz

Senior Director, Science & Machine Learning

Adswizz, Boston, Massachusetts, us, 02298


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 role 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 SXM 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 Director of Machine Learning for our Science and Machine Learning organization. In this role, you will lead a team of applied scientists, Machine Learning Engineers and partner with other engineering functions and product counterparts, to drive the tech strategy for our AI Foundations domain that includes Listener Understanding and Content understanding across our family of products including SiriusXM and Pandora. The team’s mission is to help our internal teams to drive user experiences by providing nuanced and comprehensive understanding of listeners and content.

What you’ll do:

Work cross functionally with product, business and engineering teams to develop ML strategy for Content Understanding platform.

Manage a team of ML and Science managers to build ML models to improve quality of downstream use cases such as search, recommendations and ads.

Be a thought leader in scaling machine learning frameworks and models into production in collaboration with Back End and Data Engineering teams.

Provide technical leadership, driving execution, and defining a long-term technical roadmap for the team.

Develop a vision and seek opportunities to apply machine learning models and data science across all products to improve content knowledge and therefore downstream use cases such as search, recommendations and ads.

Foster a culture of innovation, impact, collaboration and inclusion within your team and the broader Science and Machine Learning organization.

Mentor ML and Science Managers to improve the team health.

Prepare and present executive summaries of results to stakeholders in product, engineering and business organizations.

Promote research and the application of the latest machine learning and algorithmic approaches and technologies in regards to NLP, Graph Models and Music Information Retrieval.

What you’ll need:

MS, or PhD in Computer Science, Computer Engineering, Mathematics, Electrical Engineering, Physics, or a related field.

12+ years of relevant experience in the development of machine learning systems and algorithms including 6+ years leading ML teams.

Experience with ML/AI algorithms, deep learning, natural language processing (NLP), and knowledge graphs and feature stores.

Excellent communication skills and the ability to lead multi-functional efforts.

A hybrid between being a strategic thinker and driver of operational excellence.

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.

Strong working knowledge of machine learning and data science technologies and landscape.

Willingness to take initiative and to follow through on projects.

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 $257,200 to $345,000 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.

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