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AIML - Sr Machine Learning Engineer, Data and ML Innovation. Ph. D/MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics or related areas.
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The Data and Machine Learning Innovation (DMLI) team is looking for a passionate Machine Learning Engineer to explore new methods, challenge existing metrics or protocols, and develop new insightful practices that will change how we understand data and overcome real-world ML challenges.
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Ph. D/MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics, related field; or equivalent experience. Expertise in natural language processing, search and recommendation, and machine learning with a passion for data-centric machine learning.
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You will work with the AIML Data organization to deliver on our vision to make data the voice of our customers, and to inform product and machine learning development. - Build relationships across the AIML organization and across Apple, aiding teams in working with data engineering; facilitate communication between cross-divisional groups around Apple.
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Bonus if you have prior experience working with data engineers (e.g. engineers who use tools such as Airflow, Luigi, Jenkins, MapReduce, Pig, Spark, Hadoop, Hive, HBase, Greenplum, Vertica, etc.
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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.
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Apple's Data and ML Innovation team focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and advance the frontier of machine learning.
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