AMIRI BUILDING ENGINEERING INC dba 120 DEGREEZ
Apple Music Data Engineering Software Engineer
AMIRI BUILDING ENGINEERING INC dba 120 DEGREEZ, Cupertino, California, United States, 95014
Apple Music Data Engineering Software Engineer
Apple
Published 24 Aug 2024Share this job
$143100-$264200 annuallyFull TimeRole Highlights
SCALAJavaHTMLMusicDataSetsReliabilitySearchBatchStreamingStorageTools, Libraries and Frameworks
KafkaApacheDockerHadoopDescription
The company seeks to enhance the music experience for its users by building a robust data platform that supports features powered by machine learning and data analytics. The role involves designing and implementing systems that handle large datasets to improve user personalization and overall customer experience. The engineer will work on high-throughput, scalable data processing systems that are crucial for generating insights for various internal teams within the organization. The position plays a key part in leveraging data to support the successful operation of Apple Music, which is an important aspect of Apple's business.The company is at the forefront of integrating AI into user experiences, particularly through natural language processing and machine learning to innovate text input and interaction technologies on its platforms. They have developed and implemented advanced generative models for text generation, such as Transformer models, to provide features like auto-correction, sentence level correction, and inline completions. The representation of Apple as a leader in creating seamless input experiences through the exceptional integration of hardware and software, alongside a commitment to privacy, underlines their dedication to leveraging powerful on-device ML. This role offers a chance to contribute to a team that has a significant history and expertise in NLP and ML, impacting users globally across all Apple platforms.Share & Disclaimer
Share this job
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
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Apple
Published 24 Aug 2024Share this job
$143100-$264200 annuallyFull TimeRole Highlights
SCALAJavaHTMLMusicDataSetsReliabilitySearchBatchStreamingStorageTools, Libraries and Frameworks
KafkaApacheDockerHadoopDescription
The company seeks to enhance the music experience for its users by building a robust data platform that supports features powered by machine learning and data analytics. The role involves designing and implementing systems that handle large datasets to improve user personalization and overall customer experience. The engineer will work on high-throughput, scalable data processing systems that are crucial for generating insights for various internal teams within the organization. The position plays a key part in leveraging data to support the successful operation of Apple Music, which is an important aspect of Apple's business.The company is at the forefront of integrating AI into user experiences, particularly through natural language processing and machine learning to innovate text input and interaction technologies on its platforms. They have developed and implemented advanced generative models for text generation, such as Transformer models, to provide features like auto-correction, sentence level correction, and inline completions. The representation of Apple as a leader in creating seamless input experiences through the exceptional integration of hardware and software, alongside a commitment to privacy, underlines their dedication to leveraging powerful on-device ML. This role offers a chance to contribute to a team that has a significant history and expertise in NLP and ML, impacting users globally across all Apple platforms.Share & Disclaimer
Share this job
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
#J-18808-Ljbffr