Aiml - Sr Machine Learning Eng Data Ml Innovation jobs at Apple in United States, Seattle
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United States
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Seattle
128 jobs found
27.06.2024
A
Apple AIML - Sr Machine Learning Eng Data ML Innovation United States, Washington, Seattle
Excellent collaboration and communication skills with a focus on the user experience. 5+ years of experience with developing and evaluating ML applications, and demonstrated experience in understanding and improving data...
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...
Experience in data science, machine learning, and analytics, including statistical data analysis and A/B testing. Experience articulating and translating business questions and using statistical techniques to arrive at an answer...
5+ years of experience leading and driving complex, ambiguous projects. Have experience with high throughput services particularly at supercomputing scale. Proficient with running applications on Cloud (AWS / Azure or...
- 5+ years of experience in program management, particularly in the data acquisition of ML technologies, international locales experience is a plus. Strong understanding of machine learning concepts and technologies....
Proficiency in data science, machine learning, and analytics, including statistical data analysis, A/B testing, prompt engineering and fine-tune foundational models for specific tasks. Experience crafting, conducting, analyzing, and interpreting experiments...
Background in computer science: algorithms, data structures, and distributed systems. Experience working in a cloud-native environment such as AWS. Experience working with large-scale data processing pipelines (Spark, Cassandra, etc.). Experience...
Excellent collaboration and communication skills with a focus on the user experience. 5+ years of experience with developing and evaluating ML applications, and demonstrated experience in understanding and improving data...
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