Back-end Engineer Media Processing jobs at Apple in United States, Seattle
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United States
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Seattle
375 jobs found
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Apple AIML - Machine Learning Engineer Knowledge United States, Washington, Seattle
Proficiency in mainstream programming languages such as Python, Scala, and Go. Experience with continuous integration and continuous development solutions. Experience working with large data sets, knowledge graph, and end-to-end pipelines,...
Proven experience leading and growing engineering teams, including hiring, performance management, and team development. Demonstrated ability to provide hands-on technical leadership, including mentoring, guiding, and motivating engineers. Successful track record...
Experience developing compiler or static analysis tools (such as with compiler frontends, refactoring tools, software verification tools). Experience leading the technical development of large features and collaborating across organizational boundaries....
Derive engineered metrics and statistical information out of massive and complex datasets (e.g. Spark MLlib, Druid, Solr, Kafka). Have built robust feature extraction and ML training pipelines and have a...
Strong background in computer science: algorithms, data structures and system design. 10+ year experience on large scale distributed system design, operation and optimization. Familiar with one of the popular ML...
8+ years of experience leading and driving complex, ambiguous projects. Strong industry background and experience in ML technologies (LLMs, Machine Learning, NLP, Information Retrieval, Statistics). Rich experience with high throughput...
5+ years of experience in software quality assurance. Proven track record of test planning and execution for large and complex systems. Experience in high-level programming languages such as Java, Python,...
Proficiency in mainstream programming languages such as Python, Scala, and Go. Experience with continuous integration and continuous development solutions. Experience working with large data sets, knowledge graph, and end-to-end pipelines,...
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