In this role you will work on software architectures that leverage both foundation models including LLMs as well as tried-and-true machine learning and reasoning systems. You will work with a small team creating a comprehensive platform to enhance our ecosystem capabilities and be responsible for creating test and evaluation frameworks for these systems. Finally you will have the opportunity to collaborate with other teams at Apple to integrate our systems into production software that will ship in a variety of Apple products.
MS in relevant engineering fields and 5 years of relevant experience.
Proficiency in Python and familiarity with integrating LLMs and FMs in Python-based toolchains. Familiarity with Swift and XCode a bonus.
Education or background in recent generative AI systems and tools and a good understanding of the broader ecosystem of AI and machine learning algorithms.
Experience with zero-to-one r&d from idea to functional systems.
Demonstrated ability to ability to drive cross-functional efforts with teams of all sizes to create robust maintainable and performant systems.
PhD in relevant engineering fields and 3 years of relevant experience.
Experience with knowledge representation and reasoning systems graph algorithms and specialized databases
Experience with generating synthetic data for model training and evaluation
Knowledge architecture - ontology and taxonomy design and implementation
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