Apple is looking to solve AI problems that are robust, explainable, and energy-efficient to complement their Generative AI capabilities, and to discover and build solutions to previously-unsolved challenges and push the state of the art in AR algorithms for Apple Vision Pro.
Requirements
- Proficiency in Python and familiarity with integrating LLM’s and FM’s 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.
- 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
Responsibilities
- work on software architectures that leverage both foundation models including LLM’s as well as tried-and-true machine learning and reasoning systems.
- work with a small team creating a comprehensive platform to enhance our ecosystem capabilities
- be responsible for creating test and evaluation frameworks for these systems.
- collaborate with other teams at Apple to integrate our systems into production software that will ship in a variety of Apple products.
- discover and build solutions to previously-unsolved challenges and push the state of the art.
- build solutions to previously-unsolved challenges and push the state of the art in AR algorithms that will change the way people experience the world.
Other
- MS in relevant engineering fields and 5+ years of relevant experience.
- 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.
