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.
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
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.
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
Among the actives, Ascendas REIT sank 0.64 percent, while CapitaLand Integrated Commercial Trust plummeted 1.42 percent, City Developments plunged 1.12 percent, Dairy Farm International tumbled 0.86 percent, DBS Group skidded 0.68 percent, Genting Singapore retreated 0.67 percent, Hongkong Land climbed 1.30 percent, Mapletree Commercial Trust lost 0.47 percent, Mapletree Logistics Trust tanked 0.95 percent, Oversea-Chinese Banking Corporation dropped 0.61 percent, SATS rose 0.24 percent, SembCorp Industries shed 0.54 percent, Singapore Airlines surrendered 0.79 percent, Singapore Exchange slid 0.30 percent, Singapore Press Holdings declined 1.03 percent, Singapore Technologies Engineering dipped 0.26 percent, SingTel advanced 0.81 percent, United Overseas Bank fell 0.39 percent, Wilmar International eased 0.24 percent, Yangzijiang Shipbuilding jumped 1.42 percent and Keppel Corp, Thai Beverage, CapitaLand and Comfort DelGro were unchanged.
Telegram Auto-Delete Messages in Any Chat
Some messages aren’t supposed to last forever. There are some Telegram groups and conversations where it’s best if messages are automatically deleted in a day or a week. Here’s how to auto-delete messages in any Telegram chat. You can enable the auto-delete feature on a per-chat basis. It works for both one-on-one conversations and group chats. Previously, you needed to use the Secret Chat feature to automatically delete messages after a set time. At the time of writing, you can choose to automatically delete messages after a day or a week. Telegram starts the timer once they are sent, not after they are read. This won’t affect the messages that were sent before enabling the feature.