Apple's Knowledge Infrastructure powers features across a variety of Apple products including Siri, Spotlight, Safari, Messages and Lookup. The Knowledge Infrastructure team works on creating and maintaining the pipelines to build the Knowledge Graph which integrates data assets from various heterogeneous sources into a unified knowledge representation, interacting with Web data sources and large language models to power advanced retrieval augmented generation features. We work on problems at the intersection of large scale data management and machine learning, while deploying solutions to a modern cloud-based infrastructure with an advanced technology stack.
Requirements
- 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 with micro-service architecture in a containerized environment (Docker, Kubernetes, etc.)
- Experience with observability tools for monitoring applications (Prometheus, DataDog, etc.)
- Experience with training and fine-tuning large language models is a plus
- Experience with Scala and Go is a plus
Responsibilities
- deploying and monitoring micro-services
- pushing the envelop of large scale retrieval augmented generation systems
- building large scale Web data extraction pipelines
- managing and deploying self-serve features allowing teams across Apple to use Knowledge Infrastructure
- working with bleeding-edge ML technologies to train, deploy and test large scale models that solve a number of problems at the intersection of data pipelines and natural language processing
Other
- Bachelor's or Master's degree in Computer Science or equivalent work experience.
- Excellent interpersonal skills, able to work independently as well as in a team
- Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
