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Pandora/SiriusXM is currently looking for Summer 2020 interns on our Radio & Music Informatics team. We're looking for candidates with a strong background in recommender systems, machine learning, music generation, or natural language processing.

If you're looking to work on Audio Entertainment (including Music, Podcasts, News, etc) at scale we might have just what you're looking for. Our service spins music to over 100 million monthly active listeners and we have collected over 90 billion thumbs. On the content-based side we're working with millions of songs labeled by expert musicologists on up to 450 musical characteristics, and access to dozens of millions of music tracks from our catalog.

Selected candidates will be working with members of our research team, led by Òscar Celma. Interns are well compensated and our office is located in Oakland, California in the beautiful San Francisco Bay Area.

You can find more about our internship program and apply here:
http://www.pandora.com/careers/roadcrew
https://recruiting.adp.com/srccar/public/nghome.guid?c=1147611&d=ExternalCareerSite&prc=RMPOD3&r=5000541409506

Requirements:
- PhD candidate in CS/EE/Statistics/Math or other technical field

Pluses:
- Strong publication record in machine learning, recommender systems, natural language processing, and/or music information retrieval
- Ability to prototype and develop custom algorithms
- Knowledge of recommender systems
- Proficiency in Python/Scala/Java
- Experience in Spark/Hadoop/GCP

❇️ @AI_Python_EN



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Pandora/SiriusXM is currently looking for Summer 2020 interns on our Radio & Music Informatics team. We're looking for candidates with a strong background in recommender systems, machine learning, music generation, or natural language processing.

If you're looking to work on Audio Entertainment (including Music, Podcasts, News, etc) at scale we might have just what you're looking for. Our service spins music to over 100 million monthly active listeners and we have collected over 90 billion thumbs. On the content-based side we're working with millions of songs labeled by expert musicologists on up to 450 musical characteristics, and access to dozens of millions of music tracks from our catalog.

Selected candidates will be working with members of our research team, led by Òscar Celma. Interns are well compensated and our office is located in Oakland, California in the beautiful San Francisco Bay Area.

You can find more about our internship program and apply here:
http://www.pandora.com/careers/roadcrew
https://recruiting.adp.com/srccar/public/nghome.guid?c=1147611&d=ExternalCareerSite&prc=RMPOD3&r=5000541409506

Requirements:
- PhD candidate in CS/EE/Statistics/Math or other technical field

Pluses:
- Strong publication record in machine learning, recommender systems, natural language processing, and/or music information retrieval
- Ability to prototype and develop custom algorithms
- Knowledge of recommender systems
- Proficiency in Python/Scala/Java
- Experience in Spark/Hadoop/GCP

❇️ @AI_Python_EN

BY AI, Python, Cognitive Neuroscience


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