Senior Staff Scientist - Image/Video Processing - Sirius XM

Who We Are:

SiriusXM and its brands (Pandora, SXM 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 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:

We are looking for a Senior Staff Scientist to focus on the applications of image and video processing in multi-modal content analysis and personalized discovery. In this role you will leverage your expertise in image and video processing, ML, and deep learning and work with peers in the science, engineering and product teams to improve the quality of personalized recommendations and search across SiriusXM and Pandora products. 

What you’ll do:

• Research, design, experiment with, and build machine learning systems for processing image and video content to improve the quality of search and recommendation experiences across SiriusXM and Pandora products.

• Collaborate with product and engineering partners to implement, measure, and celebrate new innovations. You will present your research and impact to the team, across the Product Development organization, and potentially externally through publications and conferences.

• Propose, design, and analyze new experiments to validate scientific hypotheses.

• Build production data pipelines and models at scale, and review methods and code of other scientists.

• Perform other duties as required.

• This role does not have direct supervisory responsibilities

What you’ll need: 

We look for candidates who strive to push the state-of-the-art in areas like generative deep learning for image and video processing and recommendation systems.

• Ph.D. or MS in CS, Engineering or other quantitative fields and 4+ years of research and development experience in building scalable ML systems. 

• Expertise with contemporary techniques/tools for Computer Vision/Image Processing (e.g., CNNs, transformers, etc.)

• Experience with ML-frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

• Excellent written and verbal communication skills, with the ability to effectively advocate technical solutions to scientists, engineers, and product audiences.

• Demonstrated ability to collaborate with teams.

• Demonstrated ability to invent novel data science, machine learning, and engineering solutions.

• 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. 

• Bonus Skills: 

  • Ph.D. thesis on Computer Vision/Image Processing and applications.

  • Demonstrated scientific excellence through publishing in first-tier conferences.

  • Experience implementing production machine learning pipelines and models at scale in Python, Java, Scala, or similar languages.

  • Experience with any of the following: ○ Cloud computing: Google Cloud Platform, Amazon Web Services, Azure. ○ Distributed processing, warehousing, and orchestration frameworks (e.g., Spark, Hive, Airflow) 

  • Experience in recommendation systems, search and learning to rank techniques

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 $175,500 to $265,500 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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